[{"data":1,"prerenderedAt":2115},["ShallowReactive",2],{"content-/cperez/2026-07-07/why-ai-projects-fail":3},{"article":4,"all":1156},{"_path":5,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9,"description":10,"publishDate":6,"image":11,"author":12,"tags":15,"excerpt":10,"body":20,"_type":1150,"_id":1151,"_source":1152,"_file":1153,"_stem":1154,"_extension":1155},"/cperez/2026-07-07/why-ai-projects-fail","2026-07-07",false,"","Why Do Most AI Projects Fail?","AI projects rarely fail because the model was not powerful enough.","/cperez/2026-07-07/img/why-ai-projects-fail.jpg",{"name":13,"user":14},"Carlos Perez","cperez",[16,17,18,19],"ai","ethics","software development","vibe coding",{"type":21,"children":22,"toc":1121},"root",[23,30,35,40,45,50,57,62,67,72,77,83,88,93,109,114,119,124,129,134,139,144,149,154,159,164,169,175,180,194,199,204,209,214,219,224,229,235,240,245,250,255,260,265,320,325,330,336,341,346,351,356,361,373,378,383,388,393,398,403,408,413,418,424,429,434,439,444,456,461,466,471,476,481,486,492,497,502,516,521,526,531,536,541,546,552,557,562,567,572,577,582,587,601,606,611,616,621,626,631,637,642,647,652,665,670,675,680,685,690,696,701,706,711,716,721,726,731,736,741,747,752,757,762,767,772,777,782,787,792,797,802,807,813,818,823,828,833,838,843,848,853,858,863,868,873,878,883,889,894,899,904,909,914,919,924,929,935,940,945,950,955,960,965,970,975,980,986,991,996,1001,1006,1011,1016,1021,1026,1032,1039,1044,1050,1055,1061,1066,1072,1077,1083,1088,1094,1099,1105,1110,1116],{"type":24,"tag":25,"props":26,"children":27},"element","p",{},[28],{"type":29,"value":10},"text",{"type":24,"tag":25,"props":31,"children":32},{},[33],{"type":29,"value":34},"They fail because the team treated AI like a shortcut instead of a system.",{"type":24,"tag":25,"props":36,"children":37},{},[38],{"type":29,"value":39},"That distinction matters. AI can generate code, summarize documents, classify content, detect patterns, automate workflows, and help teams move faster. Art+Logic’s AI software development work is built around that promise: bringing AI into real-world applications that solve complex problems, extract insight, and create software that learns, adapts, and improves.",{"type":24,"tag":25,"props":41,"children":42},{},[43],{"type":29,"value":44},"But a real-world AI product is not a demo. It has users, permissions, messy data, security requirements, integrations, compliance constraints, operational edge cases, support needs, and business rules that do not fit neatly into a prompt.",{"type":24,"tag":25,"props":46,"children":47},{},[48],{"type":29,"value":49},"That is where AI projects tend to break down.",{"type":24,"tag":51,"props":52,"children":54},"h3",{"id":53},"the-short-answer-why-do-ai-projects-fail",[55],{"type":29,"value":56},"The Short Answer: Why Do AI Projects Fail?",{"type":24,"tag":25,"props":58,"children":59},{},[60],{"type":29,"value":61},"Most AI projects fail because teams start with the technology before they define the business problem, validate the data, plan for production, and assign accountability. The model is rarely the only issue. Failure usually comes from unclear goals, poor data readiness, weak integration, unrealistic expectations, missing governance, escalating costs, and treating a prototype like a finished product.",{"type":24,"tag":25,"props":63,"children":64},{},[65],{"type":29,"value":66},"RAND has reported that, by some estimates, more than 80% of AI projects fail, roughly twice the failure rate of IT projects that do not involve AI. Gartner has also found that by the end of 2025, at least 50% of generative AI projects had been abandoned after proof of concept because of poor data quality, inadequate risk controls, escalating costs, or unclear business value.",{"type":24,"tag":25,"props":68,"children":69},{},[70],{"type":29,"value":71},"In other words, AI projects usually fail for the same reason many complex software projects fail: the hard part was never just building the thing.",{"type":24,"tag":25,"props":73,"children":74},{},[75],{"type":29,"value":76},"The hard part is building the right thing, safely, sustainably, and in a way that fits the business.",{"type":24,"tag":51,"props":78,"children":80},{"id":79},"ai-makes-the-easy-part-faster",[81],{"type":29,"value":82},"AI Makes the Easy Part Faster",{"type":24,"tag":25,"props":84,"children":85},{},[86],{"type":29,"value":87},"Generative AI has changed the speed of early software creation. Teams can now produce boilerplate code, interface concepts, documentation, prototypes, test data, and working feature sketches much faster than before.",{"type":24,"tag":25,"props":89,"children":90},{},[91],{"type":29,"value":92},"That speed is real.",{"type":24,"tag":25,"props":94,"children":95},{},[96,98,107],{"type":29,"value":97},"As we mention in \"",{"type":24,"tag":99,"props":100,"children":104},"a",{"href":101,"rel":102},"https://artandlogic.com/videos/ai-can-write-code-but-thats-not-the-hard-part/",[103],"nofollow",[105],{"type":29,"value":106},"AI Can Write Code — But That’s Not the Hard Part,",{"type":29,"value":108},"\" AI coding tools can accelerate development, generate documentation, and produce working prototypes. But generating code is only a fraction of the challenge. We’ve seen cases where AI can deliver the visible 30% of a project: standard workflows, predictable integrations, and common feature patterns. The hidden 70% lives below the surface in compliance constraints, industry regulations, edge cases, failure modes, operational realities, and institutional knowledge.",{"type":24,"tag":25,"props":110,"children":111},{},[112],{"type":29,"value":113},"That is one of the biggest traps in AI development: early progress feels like product progress.",{"type":24,"tag":25,"props":115,"children":116},{},[117],{"type":29,"value":118},"A prototype works. A chatbot responds. A generated app compiles. A workflow automation runs. The demo looks impressive.",{"type":24,"tag":25,"props":120,"children":121},{},[122],{"type":29,"value":123},"Then the real questions begin:",{"type":24,"tag":25,"props":125,"children":126},{},[127],{"type":29,"value":128},"Does it handle exceptions correctly?",{"type":24,"tag":25,"props":130,"children":131},{},[132],{"type":29,"value":133},"Does it know which users can access which data?",{"type":24,"tag":25,"props":135,"children":136},{},[137],{"type":29,"value":138},"Does it integrate with the systems the business actually uses?",{"type":24,"tag":25,"props":140,"children":141},{},[142],{"type":29,"value":143},"Does it fail safely?",{"type":24,"tag":25,"props":145,"children":146},{},[147],{"type":29,"value":148},"Can anyone explain why it made that recommendation?",{"type":24,"tag":25,"props":150,"children":151},{},[152],{"type":29,"value":153},"Will it still work when usage increases?",{"type":24,"tag":25,"props":155,"children":156},{},[157],{"type":29,"value":158},"Does it comply with the rules of the industry?",{"type":24,"tag":25,"props":160,"children":161},{},[162],{"type":29,"value":163},"Can the team maintain it six months from now?",{"type":24,"tag":25,"props":165,"children":166},{},[167],{"type":29,"value":168},"AI can accelerate the first draft. It cannot automatically supply the context that makes software dependable.",{"type":24,"tag":51,"props":170,"children":172},{"id":171},"a-fast-build-is-not-the-same-as-a-finished-product",[173],{"type":29,"value":174},"A Fast Build Is Not the Same as a Finished Product",{"type":24,"tag":25,"props":176,"children":177},{},[178],{"type":29,"value":179},"One of the clearest reasons AI projects fail is the gap between “we built something quickly” and “we built something production-ready.”",{"type":24,"tag":25,"props":181,"children":182},{},[183,185,192],{"type":29,"value":184},"Art+Logic’s \"",{"type":24,"tag":99,"props":186,"children":189},{"href":187,"rel":188},"https://artandlogic.com/newsletters/fast-builds-dont-always-mean-fast-products/",[103],[190],{"type":29,"value":191},"Fast Builds Don’t Always Mean Fast Products",{"type":29,"value":193},"\" describes a pattern many teams are seeing now: organizations use AI-first approaches to modernize legacy systems, generate code faster, reduce costs, and accelerate delivery. The speed is real, but the initial momentum can be misleading because legacy systems carry years of decisions, edge cases, integrations, and constraints that are not always visible in the code itself.",{"type":24,"tag":25,"props":195,"children":196},{},[197],{"type":29,"value":198},"That is where the rework starts.",{"type":24,"tag":25,"props":200,"children":201},{},[202],{"type":29,"value":203},"A feature works in isolation but fails inside the actual workflow. An integration behaves correctly in a test environment but unpredictably in production. Performance looks fine with sample data but breaks under load. Security and compliance concerns show up late because they were never designed into the system.",{"type":24,"tag":25,"props":205,"children":206},{},[207],{"type":29,"value":208},"This is not an argument against AI-assisted development.",{"type":24,"tag":25,"props":210,"children":211},{},[212],{"type":29,"value":213},"It is an argument against confusing speed with completeness.",{"type":24,"tag":25,"props":215,"children":216},{},[217],{"type":29,"value":218},"AI can reduce the cost of exploration. It can make modernization more feasible. It can help teams revisit projects that once looked too expensive or too time-consuming. But feasibility is not the same as simplicity. Architecture, data, security, observability, governance, and long-term maintainability still matter.",{"type":24,"tag":25,"props":220,"children":221},{},[222],{"type":29,"value":223},"The teams that succeed with AI are not the ones that only ask, “How fast can we generate this?”",{"type":24,"tag":25,"props":225,"children":226},{},[227],{"type":29,"value":228},"They ask, “What needs to be true for this to work in production?”",{"type":24,"tag":51,"props":230,"children":232},{"id":231},"why-ai-proofs-of-concept-fail-in-production",[233],{"type":29,"value":234},"Why AI Proofs of Concept Fail in Production",{"type":24,"tag":25,"props":236,"children":237},{},[238],{"type":29,"value":239},"AI proofs of concept often fail because they are built in controlled conditions.",{"type":24,"tag":25,"props":241,"children":242},{},[243],{"type":29,"value":244},"The sample data is cleaner than the real data. The workflow is simpler than the real workflow. The user permissions are less complicated. The edge cases are ignored. The cost model is based on limited usage. The compliance review has not happened yet.",{"type":24,"tag":25,"props":246,"children":247},{},[248],{"type":29,"value":249},"Then the pilot meets the real business.",{"type":24,"tag":25,"props":251,"children":252},{},[253],{"type":29,"value":254},"That is when the gap appears between a promising AI experiment and a production AI system.",{"type":24,"tag":25,"props":256,"children":257},{},[258],{"type":29,"value":259},"For a CTO, product leader, or operations executive, the important question is not “Did the demo work?” It is “Can this system survive the real environment it will operate in?”",{"type":24,"tag":25,"props":261,"children":262},{},[263],{"type":29,"value":264},"Production AI needs:",{"type":24,"tag":266,"props":267,"children":268},"ul",{},[269,275,280,285,290,295,300,305,310,315],{"type":24,"tag":270,"props":271,"children":272},"li",{},[273],{"type":29,"value":274},"Clear success metrics",{"type":24,"tag":270,"props":276,"children":277},{},[278],{"type":29,"value":279},"Reliable data pipelines",{"type":24,"tag":270,"props":281,"children":282},{},[283],{"type":29,"value":284},"Defined ownership",{"type":24,"tag":270,"props":286,"children":287},{},[288],{"type":29,"value":289},"Security controls",{"type":24,"tag":270,"props":291,"children":292},{},[293],{"type":29,"value":294},"Human review where needed",{"type":24,"tag":270,"props":296,"children":297},{},[298],{"type":29,"value":299},"Cost visibility",{"type":24,"tag":270,"props":301,"children":302},{},[303],{"type":29,"value":304},"Monitoring and observability",{"type":24,"tag":270,"props":306,"children":307},{},[308],{"type":29,"value":309},"Integration with real workflows",{"type":24,"tag":270,"props":311,"children":312},{},[313],{"type":29,"value":314},"A plan for failure modes",{"type":24,"tag":270,"props":316,"children":317},{},[318],{"type":29,"value":319},"A path for iteration after launch",{"type":24,"tag":25,"props":321,"children":322},{},[323],{"type":29,"value":324},"Without those pieces, the proof of concept may prove only that the idea can work under ideal conditions.",{"type":24,"tag":25,"props":326,"children":327},{},[328],{"type":29,"value":329},"It does not prove that the product is ready.",{"type":24,"tag":51,"props":331,"children":333},{"id":332},"ai-projects-fail-when-the-problem-is-poorly-defined",[334],{"type":29,"value":335},"AI Projects Fail When the Problem Is Poorly Defined",{"type":24,"tag":25,"props":337,"children":338},{},[339],{"type":29,"value":340},"Many AI initiatives start with a technology mandate instead of a business problem.",{"type":24,"tag":25,"props":342,"children":343},{},[344],{"type":29,"value":345},"Someone says, “We need an AI strategy.”",{"type":24,"tag":25,"props":347,"children":348},{},[349],{"type":29,"value":350},"Someone else says, “We should add a chatbot.”",{"type":24,"tag":25,"props":352,"children":353},{},[354],{"type":29,"value":355},"A competitor launches an AI feature. A board member asks what the company is doing with generative AI. A team starts experimenting because everyone else is experimenting.",{"type":24,"tag":25,"props":357,"children":358},{},[359],{"type":29,"value":360},"The result is often a solution in search of a problem.",{"type":24,"tag":25,"props":362,"children":363},{},[364,371],{"type":24,"tag":99,"props":365,"children":368},{"href":366,"rel":367},"https://www.rand.org/pubs/research_reports/RRA2680-1.html",[103],[369],{"type":29,"value":370},"RAND’s research points to misunderstanding or miscommunication of the problem as one of the root causes of AI project failure.",{"type":29,"value":372}," If the team cannot clearly define the business problem, the system may optimize for the wrong outcome, solve a low-value use case, or fail to fit the workflow where it is supposed to create value.",{"type":24,"tag":25,"props":374,"children":375},{},[376],{"type":29,"value":377},"This is especially risky with generative AI because the technology is so flexible. It can write, summarize, classify, translate, answer, recommend, and generate. That flexibility makes it easy to build something impressive and hard to prove that it matters.",{"type":24,"tag":25,"props":379,"children":380},{},[381],{"type":29,"value":382},"A stronger AI project starts with sharper questions:",{"type":24,"tag":25,"props":384,"children":385},{},[386],{"type":29,"value":387},"What decision are we trying to improve?",{"type":24,"tag":25,"props":389,"children":390},{},[391],{"type":29,"value":392},"What manual workflow are we trying to reduce?",{"type":24,"tag":25,"props":394,"children":395},{},[396],{"type":29,"value":397},"What user pain are we trying to remove?",{"type":24,"tag":25,"props":399,"children":400},{},[401],{"type":29,"value":402},"What business outcome would make this worth maintaining?",{"type":24,"tag":25,"props":404,"children":405},{},[406],{"type":29,"value":407},"What is the cost of being wrong?",{"type":24,"tag":25,"props":409,"children":410},{},[411],{"type":29,"value":412},"What should the system do when confidence is low?",{"type":24,"tag":25,"props":414,"children":415},{},[416],{"type":29,"value":417},"The best AI use cases are not always the flashiest. They are the ones connected to a durable operational problem where better prediction, automation, classification, retrieval, or generation creates measurable value.",{"type":24,"tag":51,"props":419,"children":421},{"id":420},"ai-projects-fail-when-data-is-treated-as-an-afterthought",[422],{"type":29,"value":423},"AI Projects Fail When Data Is Treated as an Afterthought",{"type":24,"tag":25,"props":425,"children":426},{},[427],{"type":29,"value":428},"AI depends on data, but many organizations do not discover how messy their data is until the project is already underway.",{"type":24,"tag":25,"props":430,"children":431},{},[432],{"type":29,"value":433},"The demo used a clean sample set. The real system has missing fields, inconsistent labels, duplicated records, undocumented business logic, unstructured files, siloed databases, outdated permissions, and competing definitions of basic terms.",{"type":24,"tag":25,"props":435,"children":436},{},[437],{"type":29,"value":438},"The model is not the only thing being tested.",{"type":24,"tag":25,"props":440,"children":441},{},[442],{"type":29,"value":443},"The organization’s data maturity is being tested, too.",{"type":24,"tag":25,"props":445,"children":446},{},[447,454],{"type":24,"tag":99,"props":448,"children":451},{"href":449,"rel":450},"https://www.gartner.com/en/articles/genai-project-failure",[103],[452],{"type":29,"value":453},"Gartner identifies data readiness as a major failure point for generative AI projects,",{"type":29,"value":455},"\nnoting that poor-quality data can produce unreliable outputs, failed retrieval-augmented generation implementations, and models that cannot be fine-tuned effectively. Gartner recommends building an AI-ready data foundation with curated, accurate, enriched, and well-governed data.",{"type":24,"tag":25,"props":457,"children":458},{},[459],{"type":29,"value":460},"This is where AI projects often become data projects.",{"type":24,"tag":25,"props":462,"children":463},{},[464],{"type":29,"value":465},"That is not a failure. It is a discovery.",{"type":24,"tag":25,"props":467,"children":468},{},[469],{"type":29,"value":470},"The problem is pretending it will not happen.",{"type":24,"tag":25,"props":472,"children":473},{},[474],{"type":29,"value":475},"If an AI system is expected to make recommendations, summarize records, detect anomalies, automate approvals, or retrieve company knowledge, the team needs to understand where that information lives, how reliable it is, who owns it, who can access it, and how it changes over time.",{"type":24,"tag":25,"props":477,"children":478},{},[479],{"type":29,"value":480},"Without that foundation, AI can produce confident answers from incomplete context.",{"type":24,"tag":25,"props":482,"children":483},{},[484],{"type":29,"value":485},"Confident wrong answers are often worse than no automation at all.",{"type":24,"tag":51,"props":487,"children":489},{"id":488},"ai-projects-fail-when-generated-code-is-mistaken-for-engineered-software",[490],{"type":29,"value":491},"AI Projects Fail When Generated Code Is Mistaken for Engineered Software",{"type":24,"tag":25,"props":493,"children":494},{},[495],{"type":29,"value":496},"AI-generated code can be useful. It can speed up scaffolding, produce working examples, explain unfamiliar APIs, generate tests, and help developers explore alternatives quickly.",{"type":24,"tag":25,"props":498,"children":499},{},[500],{"type":29,"value":501},"But code that runs is not the same as software that is ready for production.",{"type":24,"tag":25,"props":503,"children":504},{},[505,507,514],{"type":29,"value":506},"In Art+Logic’s “",{"type":24,"tag":99,"props":508,"children":511},{"href":509,"rel":510},"https://artandlogic.com/videos/ai-rescue-fixing-what-generative-code-cant-finish/",[103],[512],{"type":29,"value":513},"AI Rescue: Fixing What Generative Code Can’t Finish,",{"type":29,"value":515},"” we describe a common AI-assisted development problem: generated code may build interfaces and functional prototypes quickly, but still miss context, business logic, scalability, security, compliance, real-world edge cases, test coverage, documentation, version control discipline, and architectural quality.",{"type":24,"tag":25,"props":517,"children":518},{},[519],{"type":29,"value":520},"That list is a good summary of why many AI-assisted builds eventually need rescue.",{"type":24,"tag":25,"props":522,"children":523},{},[524],{"type":29,"value":525},"The generated code may look complete from the outside. Under the hood, it may have fragile abstractions, duplicated logic, unhandled errors, hidden security problems, performance bottlenecks, or no clear path for future development.",{"type":24,"tag":25,"props":527,"children":528},{},[529],{"type":29,"value":530},"This is especially common in AI-generated MVPs, where teams use generative tools to create a functioning application quickly without enough architectural oversight. The result may be a promising prototype that cannot be extended safely.",{"type":24,"tag":25,"props":532,"children":533},{},[534],{"type":29,"value":535},"The good news is that these projects do not always need to be scrapped.",{"type":24,"tag":25,"props":537,"children":538},{},[539],{"type":29,"value":540},"They often need an engineering intervention: architecture review, modular refactoring, security assessment, test coverage, integration planning, documentation, DevOps discipline, and a clear plan for turning the prototype into a maintainable product.",{"type":24,"tag":25,"props":542,"children":543},{},[544],{"type":29,"value":545},"In short, yes, AI can write code, but humans still have to build software.",{"type":24,"tag":51,"props":547,"children":549},{"id":548},"ai-projects-fail-when-accountability-is-unclear",[550],{"type":29,"value":551},"AI Projects Fail When Accountability Is Unclear",{"type":24,"tag":25,"props":553,"children":554},{},[555],{"type":29,"value":556},"As AI systems become more autonomous, accountability becomes harder to define.",{"type":24,"tag":25,"props":558,"children":559},{},[560],{"type":29,"value":561},"Who is responsible if an AI recommendation is biased?",{"type":24,"tag":25,"props":563,"children":564},{},[565],{"type":29,"value":566},"Who owns the risk if an automated decision affects a customer, patient, employee, or applicant?",{"type":24,"tag":25,"props":568,"children":569},{},[570],{"type":29,"value":571},"Who signs off on the model’s behavior before deployment?",{"type":24,"tag":25,"props":573,"children":574},{},[575],{"type":29,"value":576},"Who monitors it after release?",{"type":24,"tag":25,"props":578,"children":579},{},[580],{"type":29,"value":581},"Who can override it?",{"type":24,"tag":25,"props":583,"children":584},{},[585],{"type":29,"value":586},"Who explains what happened when something goes wrong?",{"type":24,"tag":25,"props":588,"children":589},{},[590,592,599],{"type":29,"value":591},"Art+Logic’s “",{"type":24,"tag":99,"props":593,"children":596},{"href":594,"rel":595},"https://artandlogic.com/newsletters/the-ethics-of-automation-whos-accountable-when-ai-acts/",[103],[597],{"type":29,"value":598},"The Ethics of Automation: Who’s Accountable When AI Acts?",{"type":29,"value":600},"” frames this as the automation paradox: automation can make work faster and more precise, but it can also make responsibility more complex. When humans make decisions, accountability has a face. When algorithms make them, accountability can disappear into logs, vendors, data pipelines, and unclear ownership.",{"type":24,"tag":25,"props":602,"children":603},{},[604],{"type":29,"value":605},"That is not just an ethical issue.",{"type":24,"tag":25,"props":607,"children":608},{},[609],{"type":29,"value":610},"It is a product risk.",{"type":24,"tag":25,"props":612,"children":613},{},[614],{"type":29,"value":615},"AI projects fail when responsibility is vague. They fail when no one owns validation, when business teams assume the model is “technical,” when technical teams assume policy decisions belong to leadership, and when users are expected to trust outputs without understanding their limits.",{"type":24,"tag":25,"props":617,"children":618},{},[619],{"type":29,"value":620},"Responsible AI needs to be designed into the system. Art+Logic’s guidance emphasizes explainability, bias audits, fairness testing, human-in-the-loop systems, accountability maps, and governance that evolves as models and use cases change.",{"type":24,"tag":25,"props":622,"children":623},{},[624],{"type":29,"value":625},"For many teams, the most important AI feature is not a smarter model.",{"type":24,"tag":25,"props":627,"children":628},{},[629],{"type":29,"value":630},"It is a clearer chain of responsibility.",{"type":24,"tag":51,"props":632,"children":634},{"id":633},"ai-projects-fail-when-they-skip-the-human-in-the-loop",[635],{"type":29,"value":636},"AI Projects Fail When They Skip the Human-in-the-Loop",{"type":24,"tag":25,"props":638,"children":639},{},[640],{"type":29,"value":641},"There is a misconception that the goal of AI is to remove people from the process.",{"type":24,"tag":25,"props":643,"children":644},{},[645],{"type":29,"value":646},"Sometimes automation can fully replace a repetitive task. But in many high-value use cases, AI works best as a collaborator: surfacing patterns, drafting outputs, ranking options, summarizing information, flagging anomalies, or recommending next steps.",{"type":24,"tag":25,"props":648,"children":649},{},[650],{"type":29,"value":651},"Humans still provide judgment, context, ethics, domain knowledge, and accountability.",{"type":24,"tag":25,"props":653,"children":654},{},[655,657,663],{"type":29,"value":656},"That is especially true in complex software projects. Art+Logic’s “",{"type":24,"tag":99,"props":658,"children":660},{"href":101,"rel":659},[103],[661],{"type":29,"value":662},"AI Can Write Code — But That’s Not the Hard Part",{"type":29,"value":664},"” makes the point directly: AI works best when a team is guiding it, refining requirements, checking assumptions, and making sure the system solves the right problem.",{"type":24,"tag":25,"props":666,"children":667},{},[668],{"type":29,"value":669},"This does not make AI less valuable.",{"type":24,"tag":25,"props":671,"children":672},{},[673],{"type":29,"value":674},"It makes it more practical.",{"type":24,"tag":25,"props":676,"children":677},{},[678],{"type":29,"value":679},"A human-in-the-loop approach gives the team a way to manage uncertainty. It creates checkpoints where people can review outputs, correct errors, override recommendations, improve prompts, tune workflows, and identify edge cases before they become production failures.",{"type":24,"tag":25,"props":681,"children":682},{},[683],{"type":29,"value":684},"The question is not only, “Can AI do this task?”",{"type":24,"tag":25,"props":686,"children":687},{},[688],{"type":29,"value":689},"The better question is, “Where should AI assist, and where must a person remain accountable?”",{"type":24,"tag":51,"props":691,"children":693},{"id":692},"ai-projects-fail-when-they-ignore-integration",[694],{"type":29,"value":695},"AI Projects Fail When They Ignore Integration",{"type":24,"tag":25,"props":697,"children":698},{},[699],{"type":29,"value":700},"Many AI demos happen in isolation, while real products do not.",{"type":24,"tag":25,"props":702,"children":703},{},[704],{"type":29,"value":705},"A successful AI system has to fit into authentication, permissions, databases, APIs, legacy workflows, reporting tools, user interfaces, monitoring systems, support processes, and deployment pipelines.",{"type":24,"tag":25,"props":707,"children":708},{},[709],{"type":29,"value":710},"This is one reason AI pilots stall after proof of concept. The model works. The workflow does not.",{"type":24,"tag":25,"props":712,"children":713},{},[714],{"type":29,"value":715},"Art+Logic’s AI capabilities include natural language interfaces, recommendation engines, real-time audio/video/vision processing, anomaly detection, workflow automation, document summarization, predictive modeling, business intelligence, and custom model training or fine-tuning. Each of those capabilities becomes useful only when it is connected to the systems, people, and decisions around it.",{"type":24,"tag":25,"props":717,"children":718},{},[719],{"type":29,"value":720},"A summarization tool that does not connect to the source documents is a novelty.",{"type":24,"tag":25,"props":722,"children":723},{},[724],{"type":29,"value":725},"A prediction engine that does not feed into an operational decision is a dashboard.",{"type":24,"tag":25,"props":727,"children":728},{},[729],{"type":29,"value":730},"A chatbot that cannot access reliable context is a liability.",{"type":24,"tag":25,"props":732,"children":733},{},[734],{"type":29,"value":735},"A code-generation workflow without review, testing, and version control is technical debt with better marketing.",{"type":24,"tag":25,"props":737,"children":738},{},[739],{"type":29,"value":740},"Integration is where AI stops being a feature and starts becoming software.",{"type":24,"tag":51,"props":742,"children":744},{"id":743},"what-ctos-and-product-leaders-should-watch-for",[745],{"type":29,"value":746},"What CTOs and Product Leaders Should Watch For",{"type":24,"tag":25,"props":748,"children":749},{},[750],{"type":29,"value":751},"For technology and product leaders, the warning signs usually appear before the project officially “fails.”",{"type":24,"tag":25,"props":753,"children":754},{},[755],{"type":29,"value":756},"The team is showing progress, but no one can define the business metric the AI system is supposed to improve.",{"type":24,"tag":25,"props":758,"children":759},{},[760],{"type":29,"value":761},"The prototype works, but only with handpicked data.",{"type":24,"tag":25,"props":763,"children":764},{},[765],{"type":29,"value":766},"The AI output looks impressive, but no one knows who approves it.",{"type":24,"tag":25,"props":768,"children":769},{},[770],{"type":29,"value":771},"The system is generating code, but no one has reviewed the architecture.",{"type":24,"tag":25,"props":773,"children":774},{},[775],{"type":29,"value":776},"The workflow depends on human trust, but users cannot understand or challenge the recommendation.",{"type":24,"tag":25,"props":778,"children":779},{},[780],{"type":29,"value":781},"The pilot is getting usage, but the cost model does not work at scale.",{"type":24,"tag":25,"props":783,"children":784},{},[785],{"type":29,"value":786},"The AI feature is technically interesting, but it does not change the user’s job, decision, or outcome in a meaningful way.",{"type":24,"tag":25,"props":788,"children":789},{},[790],{"type":29,"value":791},"These are not reasons to abandon AI. They are reasons to slow down and ask better questions before the project becomes expensive to unwind.",{"type":24,"tag":25,"props":793,"children":794},{},[795],{"type":29,"value":796},"For CTOs, the core question is whether the system can be secured, tested, monitored, integrated, and maintained.",{"type":24,"tag":25,"props":798,"children":799},{},[800],{"type":29,"value":801},"For product leaders, the core question is whether the AI capability solves a real user problem, improves a measurable workflow, and has a clear path from prototype to production.",{"type":24,"tag":25,"props":803,"children":804},{},[805],{"type":29,"value":806},"For executives, the core question is whether the organization is ready to own the outcome.",{"type":24,"tag":51,"props":808,"children":810},{"id":809},"ai-project-failure-checklist",[811],{"type":29,"value":812},"AI Project Failure Checklist",{"type":24,"tag":25,"props":814,"children":815},{},[816],{"type":29,"value":817},"Before investing further in an AI initiative, ask:",{"type":24,"tag":25,"props":819,"children":820},{},[821],{"type":29,"value":822},"Is the business problem clearly defined?",{"type":24,"tag":25,"props":824,"children":825},{},[826],{"type":29,"value":827},"Is AI the right tool for that problem?",{"type":24,"tag":25,"props":829,"children":830},{},[831],{"type":29,"value":832},"Is there a measurable outcome tied to the project?",{"type":24,"tag":25,"props":834,"children":835},{},[836],{"type":29,"value":837},"Is the data reliable, accessible, and governed?",{"type":24,"tag":25,"props":839,"children":840},{},[841],{"type":29,"value":842},"Does the system need human review or approval?",{"type":24,"tag":25,"props":844,"children":845},{},[846],{"type":29,"value":847},"Can the AI output be explained, audited, or overridden?",{"type":24,"tag":25,"props":849,"children":850},{},[851],{"type":29,"value":852},"Have security, privacy, and compliance requirements been identified?",{"type":24,"tag":25,"props":854,"children":855},{},[856],{"type":29,"value":857},"Has the prototype been reviewed for scalability and maintainability?",{"type":24,"tag":25,"props":859,"children":860},{},[861],{"type":29,"value":862},"Does the system integrate with real workflows and existing tools?",{"type":24,"tag":25,"props":864,"children":865},{},[866],{"type":29,"value":867},"Is there a clear owner after launch?",{"type":24,"tag":25,"props":869,"children":870},{},[871],{"type":29,"value":872},"Are costs modeled for production usage, not just proof-of-concept usage?",{"type":24,"tag":25,"props":874,"children":875},{},[876],{"type":29,"value":877},"Is there a monitoring plan for performance, drift, errors, and user feedback?",{"type":24,"tag":25,"props":879,"children":880},{},[881],{"type":29,"value":882},"If the answer to several of these questions is “not yet,” the project may not be failing. It may simply be earlier than the team thinks.",{"type":24,"tag":51,"props":884,"children":886},{"id":885},"how-to-give-an-ai-project-a-better-chance-of-success",[887],{"type":29,"value":888},"How to Give an AI Project a Better Chance of Success",{"type":24,"tag":25,"props":890,"children":891},{},[892],{"type":29,"value":893},"The failure pattern is clear, but it is not inevitable. AI projects have a much better chance of succeeding when teams treat them like serious product and engineering initiatives from the beginning.",{"type":24,"tag":25,"props":895,"children":896},{},[897],{"type":29,"value":898},"Start with the business problem. Define the workflow, decision, user pain, or operational bottleneck before choosing a model or tool.",{"type":24,"tag":25,"props":900,"children":901},{},[902],{"type":29,"value":903},"Validate the data early. Know what data is needed, where it lives, who owns it, how clean it is, how it will be governed, and how it will be monitored over time.",{"type":24,"tag":25,"props":905,"children":906},{},[907],{"type":29,"value":908},"Design for production, not just the demo. Include security, compliance, performance, scalability, observability, support, documentation, and maintainability in the plan from day one.",{"type":24,"tag":25,"props":910,"children":911},{},[912],{"type":29,"value":913},"Keep humans accountable. Decide where human review is required, who can override the system, and who owns outcomes after deployment.",{"type":24,"tag":25,"props":915,"children":916},{},[917],{"type":29,"value":918},"Use AI where it fits. AI is powerful, but it is not always the right solution. Sometimes the better answer is a rules engine, a workflow redesign, a database cleanup, a better user interface, or a simpler automation.",{"type":24,"tag":25,"props":920,"children":921},{},[922],{"type":29,"value":923},"Plan for iteration. AI systems are not “done” when they launch. They need monitoring, evaluation, feedback loops, model updates, prompt refinement, and governance as the business changes.",{"type":24,"tag":25,"props":925,"children":926},{},[927],{"type":29,"value":928},"Bring engineering judgment to AI-generated work. Generated code should be reviewed, tested, refactored, secured, documented, and integrated like any other production software.",{"type":24,"tag":51,"props":930,"children":932},{"id":931},"can-a-failing-ai-project-be-rescued",[933],{"type":29,"value":934},"Can a Failing AI Project Be Rescued?",{"type":24,"tag":25,"props":936,"children":937},{},[938],{"type":29,"value":939},"Often, yes.",{"type":24,"tag":25,"props":941,"children":942},{},[943],{"type":29,"value":944},"A stalled AI project does not always mean the original idea was wrong. It may mean the system needs more context, stronger architecture, cleaner data, better integration, clearer ownership, or a more realistic production plan.",{"type":24,"tag":25,"props":946,"children":947},{},[948],{"type":29,"value":949},"An AI-generated MVP may need refactoring rather than replacement.",{"type":24,"tag":25,"props":951,"children":952},{},[953],{"type":29,"value":954},"A chatbot may need retrieval design, permissions, and source grounding.",{"type":24,"tag":25,"props":956,"children":957},{},[958],{"type":29,"value":959},"A prediction engine may need better data pipelines and clearer decision workflows.",{"type":24,"tag":25,"props":961,"children":962},{},[963],{"type":29,"value":964},"An automation project may need human approval steps and accountability mapping.",{"type":24,"tag":25,"props":966,"children":967},{},[968],{"type":29,"value":969},"A legacy modernization effort may need engineers to identify which parts of the system can be rebuilt safely and which parts need to be preserved.",{"type":24,"tag":25,"props":971,"children":972},{},[973],{"type":29,"value":974},"The goal is not to remove AI from the process. The goal is to use AI inside a disciplined engineering process.",{"type":24,"tag":25,"props":976,"children":977},{},[978],{"type":29,"value":979},"That is the difference between a fast build and a durable product.",{"type":24,"tag":51,"props":981,"children":983},{"id":982},"the-real-reason-ai-projects-fail",[984],{"type":29,"value":985},"The Real Reason AI Projects Fail",{"type":24,"tag":25,"props":987,"children":988},{},[989],{"type":29,"value":990},"Most AI projects do not fail because AI lacks potential.",{"type":24,"tag":25,"props":992,"children":993},{},[994],{"type":29,"value":995},"They fail because potential is not a product.",{"type":24,"tag":25,"props":997,"children":998},{},[999],{"type":29,"value":1000},"A useful AI system needs a real problem, reliable data, thoughtful architecture, secure integration, clear accountability, human oversight, and a path to long-term maintenance. Without those pieces, even the most impressive demo can collapse under real-world conditions.",{"type":24,"tag":25,"props":1002,"children":1003},{},[1004],{"type":29,"value":1005},"The teams that get AI right are not simply moving faster.",{"type":24,"tag":25,"props":1007,"children":1008},{},[1009],{"type":29,"value":1010},"They are moving faster with discipline.",{"type":24,"tag":25,"props":1012,"children":1013},{},[1014],{"type":29,"value":1015},"They understand that AI can accelerate development, expand what is possible, and make previously impractical projects worth revisiting. But they also understand that the work still has to be engineered.",{"type":24,"tag":25,"props":1017,"children":1018},{},[1019],{"type":29,"value":1020},"Because the real challenge is not generating code, producing a prototype, or adding an AI feature.",{"type":24,"tag":25,"props":1022,"children":1023},{},[1024],{"type":29,"value":1025},"The real challenge is getting the whole system right.",{"type":24,"tag":51,"props":1027,"children":1029},{"id":1028},"faqs",[1030],{"type":29,"value":1031},"FAQs",{"type":24,"tag":1033,"props":1034,"children":1036},"h4",{"id":1035},"why-do-most-ai-projects-fail",[1037],{"type":29,"value":1038},"Why do most AI projects fail?",{"type":24,"tag":25,"props":1040,"children":1041},{},[1042],{"type":29,"value":1043},"Most AI projects fail because teams start with AI technology before defining the business problem, validating the data, planning for production, and assigning accountability. Common causes include unclear goals, poor data quality, weak integration, inadequate governance, escalating costs, and unrealistic expectations.",{"type":24,"tag":1033,"props":1045,"children":1047},{"id":1046},"why-do-ai-proofs-of-concept-fail-in-production",[1048],{"type":29,"value":1049},"Why do AI proofs of concept fail in production?",{"type":24,"tag":25,"props":1051,"children":1052},{},[1053],{"type":29,"value":1054},"AI proofs of concept often fail in production because they are built with clean sample data, simplified workflows, and limited constraints. Production systems need security, performance, observability, permissions, integrations, exception handling, support processes, and cost controls.",{"type":24,"tag":1033,"props":1056,"children":1058},{"id":1057},"is-ai-generated-code-production-ready",[1059],{"type":29,"value":1060},"Is AI-generated code production-ready?",{"type":24,"tag":25,"props":1062,"children":1063},{},[1064],{"type":29,"value":1065},"Not by default. AI-generated code can be a useful starting point, but it still needs architecture review, testing, security checks, documentation, version control, performance evaluation, and integration planning before it can be trusted in production.",{"type":24,"tag":1033,"props":1067,"children":1069},{"id":1068},"can-an-ai-generated-app-be-rescued",[1070],{"type":29,"value":1071},"Can an AI-generated app be rescued?",{"type":24,"tag":25,"props":1073,"children":1074},{},[1075],{"type":29,"value":1076},"Often, yes. An AI-generated app may need refactoring, architecture review, test coverage, security hardening, documentation, deployment discipline, and integration work before it can become maintainable production software.",{"type":24,"tag":1033,"props":1078,"children":1080},{"id":1079},"how-do-you-know-whether-ai-is-the-right-solution",[1081],{"type":29,"value":1082},"How do you know whether AI is the right solution?",{"type":24,"tag":25,"props":1084,"children":1085},{},[1086],{"type":29,"value":1087},"AI is a good fit when the problem depends on prediction, classification, summarization, retrieval, generation, anomaly detection, or pattern recognition. It may not be the right fit when the issue is primarily unclear process, poor data, weak UX, missing business rules, or lack of system integration.",{"type":24,"tag":1033,"props":1089,"children":1091},{"id":1090},"what-should-a-cto-check-before-approving-an-ai-project",[1092],{"type":29,"value":1093},"What should a CTO check before approving an AI project?",{"type":24,"tag":25,"props":1095,"children":1096},{},[1097],{"type":29,"value":1098},"A CTO should check whether the project has a defined business outcome, reliable data, clear architecture, security and compliance requirements, human oversight, cost visibility, monitoring, integration plans, and a post-launch owner.",{"type":24,"tag":1033,"props":1100,"children":1102},{"id":1101},"what-is-the-difference-between-an-ai-prototype-and-an-ai-product",[1103],{"type":29,"value":1104},"What is the difference between an AI prototype and an AI product?",{"type":24,"tag":25,"props":1106,"children":1107},{},[1108],{"type":29,"value":1109},"An AI prototype proves that an idea can work in a controlled setting. An AI product must work reliably in real workflows, with real users, real data, permissions, security requirements, compliance needs, monitoring, support, and long-term maintainability.",{"type":24,"tag":1033,"props":1111,"children":1113},{"id":1112},"how-can-companies-improve-ai-project-success-rates",[1114],{"type":29,"value":1115},"How can companies improve AI project success rates?",{"type":24,"tag":25,"props":1117,"children":1118},{},[1119],{"type":29,"value":1120},"Companies can improve success rates by defining the business problem first, validating data readiness early, designing for production, assigning clear accountability, keeping humans in the loop, and using experienced engineers to integrate AI into the broader software system.",{"title":8,"searchDepth":1122,"depth":1122,"links":1123},3,[1124,1125,1126,1127,1128,1129,1130,1131,1132,1133,1134,1135,1136,1137,1138,1139],{"id":53,"depth":1122,"text":56},{"id":79,"depth":1122,"text":82},{"id":171,"depth":1122,"text":174},{"id":231,"depth":1122,"text":234},{"id":332,"depth":1122,"text":335},{"id":420,"depth":1122,"text":423},{"id":488,"depth":1122,"text":491},{"id":548,"depth":1122,"text":551},{"id":633,"depth":1122,"text":636},{"id":692,"depth":1122,"text":695},{"id":743,"depth":1122,"text":746},{"id":809,"depth":1122,"text":812},{"id":885,"depth":1122,"text":888},{"id":931,"depth":1122,"text":934},{"id":982,"depth":1122,"text":985},{"id":1028,"depth":1122,"text":1031,"children":1140},[1141,1143,1144,1145,1146,1147,1148,1149],{"id":1035,"depth":1142,"text":1038},4,{"id":1046,"depth":1142,"text":1049},{"id":1057,"depth":1142,"text":1060},{"id":1068,"depth":1142,"text":1071},{"id":1079,"depth":1142,"text":1082},{"id":1090,"depth":1142,"text":1093},{"id":1101,"depth":1142,"text":1104},{"id":1112,"depth":1142,"text":1115},"markdown","content:cperez:2026-07-07:why-ai-projects-fail.md","content","cperez/2026-07-07/why-ai-projects-fail.md","cperez/2026-07-07/why-ai-projects-fail","md",[1157,1170,1179,1192,1207,1219,1227,1237,1248,1257,1269,1280,1291,1300,1310,1321,1334,1345,1354,1364,1372,1379,1388,1396,1405,1415,1425,1434,1443,1451,1462,1470,1478,1487,1495,1505,1513,1521,1529,1537,1545,1553,1561,1571,1579,1589,1597,1607,1617,1628,1638,1648,1662,1673,1685,1695,1698,1710,1721,1731,1744,1753,1763,1773,1783,1795,1807,1821,1835,1850,1858,1866,1875,1884,1893,1902,1911,1920,1929,1938,1947,1958,1971,1981,1989,1997,2005,2013,2025,2037,2047,2056,2065,2075,2084,2094,2103],{"_path":1158,"title":1159,"description":1160,"image":1161,"publishDate":1162,"tags":1163,"_id":1166,"author":1167},"/alalande/2023-1/escaping_text","Thinking Like a Programmer: Escaping Text","In this progressive and vivid explanation, we explore the HOW and WHY of quoting, nesting, and escaping text.","/alalande/2023-1/img/header.png","2024-02-15",[1164,1165],"series","educational","content:alalande:2023-1:escaping_text.md",{"user":1168,"name":1169},"alalande","Anthony Lalande",{"_path":1171,"title":1172,"description":1173,"image":1174,"publishDate":1175,"tags":1176,"_id":1177,"author":1178},"/alalande/2023-2/heuristics","Thinking Like a Programmer: Heuristics","We want to help you turbo-charge your decision making.","/alalande/2023-2/img/heuristics.png","2024-03-15",[1164,1165],"content:alalande:2023-2:heuristics.md",{"user":1168,"name":1169},{"_path":1180,"title":1181,"description":1182,"tags":1183,"publishDate":1186,"image":1187,"_id":1188,"author":1189},"/areichert/2023-10/rapid-testing-techniques-for-web-and-mobile","Rapid Testing Techniques for Web & Mobile Apps","Testing rapidly or the need to test quickly under shortened execution cycles is not new. Rapid testing has been around for as long as software testing has existed but increases when a product release is imminent, strained, or behind schedule. There are many reasons development gets behind schedule. Similar to testing, development is prone to surprise requirements changes and increases in scope and complexity.",[1184,1185],"software-testing","qa","2024-06-01","/areichert/2023-10/img/rapid_testing.png","content:areichert:2023-10:Rapid Testing techniques for web and mobile.md",{"user":1190,"name":1191},"areichert","Amy Reichert",{"_path":1193,"title":1194,"description":1195,"image":1196,"publishDate":1197,"tags":1198,"_id":1203,"author":1204},"/asherbrooke/2020-4/watchwah","Bringing an Idea to Life: WatchWah Proof of Concept","\"Wouldn't it be cool if...\"","/asherbrooke/2020-4/img/Guitar_and_Watch.jpeg","2020-04-01",[1199,1200,1201,1202],"ios","apple","watch","juce","content:asherbrooke:2020-4:watchwah.md",{"user":1205,"name":1206},"asherbrooke","Andrew Sherbrooke",{"_path":1208,"title":1209,"description":1210,"publishDate":1211,"tags":1212,"_id":1215,"author":1216},"/avogan/2012-07/salt","What Your Users Don't Know (Part 1)","What's wrong with this code?","2012-07-13",[1213,1214,1164],"cryptography","security","content:avogan:2012-07:salt.md",{"user":1217,"name":1218},"avogan","Andrew Vogan",{"_path":1220,"title":1221,"description":1222,"publishDate":1223,"tags":1224,"_id":1225,"author":1226},"/avogan/2012-07/salt-2","What Your Users Don't Know (Part 2)","In my last post we saw that what your users don't know can hurt them. In other words, how securely you handle your users' private data behind the scenes can have profound implications both for your business and your users' well being. To put it bluntly, it's bad for your business to be publicly shamed over your handling of sensitive data, and it's bad for your users to have their bank accounts pilfered -- those being some of the worse case scenarios.","2012-07-26",[1213,1214,1164],"content:avogan:2012-07:salt-2.md",{"user":1217,"name":1218},{"_path":1228,"title":1229,"description":1230,"publishDate":1231,"image":1232,"_id":1233,"author":1234},"/bporter/2012-5/cd_player","My First CD Player","I started college right about the time when the first CD players were coming onto the market -- there weren't many available, and they were all obscenely expensive. At the time, my dad was dong a lot of traveling to Japan for business, and he was able to bring me a really nice Yamaha CD player back from a shop in Akihabara for about 1/4th of what a similar unit would have cost me here in the US.","2012-05-01","/bporter/2012-5/img/cd_player.jpg","content:bporter:2012-5:cd_player.md",{"user":1235,"name":1236},"bporter","Brett Porter",{"_path":1238,"title":1239,"description":1240,"publishDate":1241,"tags":1242,"image":1245,"_id":1246,"author":1247},"/bporter/2012-5/improtech","ImproTech Paris-New York 2012","Last week, I took a vacation day to attend one day of workshops at NYU as part of ImproTech 2012 Paris-New York That website descibes the event as:","2012-05-24",[1243,1244],"improvisation","music","/bporter/2012-5/img/affichemartin.jpg","content:bporter:2012-5:improtech.md",{"user":1235,"name":1236},{"_path":1249,"title":1250,"description":1251,"publishDate":1252,"tags":1253,"_id":1255,"author":1256},"/bporter/2012-5/learntocode","Yes, Do Learn To Code!","My usual pre-work routine is to walk the dog (working at home, this is my counterpart to a commute), pour my first cup of coffee, and then curl up for a little while with Google Reader. I don't know if it's because I've selected feeds that are too closely aligned with my values and personal agenda, but it's really rare that I'll read a post that is just so wrong that it makes me angry. Jeff Atwood wrote a post like that: Please Don't Learn To Code","2012-05-15",[1254],"learn-to-code","content:bporter:2012-5:learntocode.md",{"user":1235,"name":1236},{"_path":1258,"title":1259,"description":1260,"publishDate":1261,"tags":1262,"image":1266,"_id":1267,"author":1268},"/bporter/2012-6/dsl","Watch Your Language","Interesting to see a theme emerge in my Pinboard account this week -- lots of stuff about the idea of 'programming language'. I've spent the last few weeks preparing to dive back into a personal interactive music project that I've been working on sporadically since I was in graduate school. I had recently realized that the conceptual roadblock I hit before my last hiatus was something that I'd need to address by adding some sort of little programming language into the system. After following Martin Fowler's many blog posts over the years discussing domain specific languages, I finally broke down and bought his book on the topic. It's too early yet for me to have much concrete to say about the book, but I remember getting enough out of those blog posts to be confident that it will be worth the money and time to read.","2012-06-29",[1263,1264,1265],"dsl","erlang","go","/bporter/2012-6/img/dsl.jpg","content:bporter:2012-6:dsl.md",{"user":1235,"name":1236},{"_path":1270,"title":1271,"description":1272,"image":1273,"publishDate":1274,"tags":1275,"_id":1278,"author":1279},"/bporter/2019-3/animator","Friz: A flexible animation controller for JUCE","As is often the case, I found myself working on a personal project and had some UI elements that really wanted to have some life to them on the screen.","/bporter/2019-3/img/animator.png","2019-03-01",[1202,1276,1277],"ui","c++","content:bporter:2019-3:animator.md",{"user":1235,"name":1236},{"_path":1281,"title":1282,"description":1283,"image":1284,"publishDate":1285,"tags":1286,"_id":1289,"author":1290},"/bporter/2019-4/aesannounce","Art+Logic In the Real World","There are a few events coming up in the next few weeks where A+L will have people in attendance. If you're going to be there or nearby, please get in touch and we'll meet up.","/bporter/2019-4/img/aesLogo.jpg","2019-04-01",[1287,1288],"a+l","event","content:bporter:2019-4:aesAnnounce.md",{"user":1235,"name":1236},{"_path":1292,"title":1293,"description":1294,"image":1295,"publishDate":1296,"tags":1297,"_id":1298,"author":1299},"/bporter/2020-10/reanimated","Re-animated","Last year, I posted here about an animation control framework called 'Friz' that works within the JUCE Application Framework.","/bporter/2020-10/img/module.png","2020-10-01",[1202,1276,1277],"content:bporter:2020-10:reanimated.md",{"user":1235,"name":1236},{"_path":1301,"title":1302,"description":1303,"image":1304,"publishDate":1274,"tags":1305,"_id":1306,"author":1307},"/bstevens/2019-3","Coding the Impossible","As you can see on the Art+Logic website, our slogan is Coding the \"impossible.\"®","/bstevens/2019-3/img/impossible.png",[1287],"content:bstevens:2019-3:index.md",{"user":1308,"name":1309},"bstevens","Ben Stevens",{"_path":1311,"title":1312,"description":1313,"publishDate":1314,"tags":1315,"_id":1317,"author":1318},"/ckeefer/2013-1/misc","JS Hints & Shortcuts","During the course of any complex project (and even many simple ones), on the way to accomplish the actual goal, you're certain to encounter any number of small hurdles along the way - little problems which need to be resolved for the bigger picture to come into focus.","2013-09-01",[1316],"js","content:ckeefer:2013-1:misc.md",{"user":1319,"name":1320},"ckeefer","Christopher Keefer",{"_path":1322,"title":1323,"description":1324,"publishDate":1325,"tags":1326,"image":1331,"_id":1332,"author":1333},"/ckeefer/2013-2/xslt","XML and XSLT","Not terribly long ago, XML was the darling of the web. HTML4 was reformulated as XHTML 1.0, SOAP messages were XML, and let us not forget XMLHttpRequest.","2013-10-08",[1327,1328,1329,1330],"data-formats","xml","xsl","xslt","/ckeefer/2013-2/img/xslt-processing.png","content:ckeefer:2013-2:xslt.md",{"user":1319,"name":1320},{"_path":1335,"title":1336,"description":1337,"publishDate":1338,"tags":1339,"image":1342,"_id":1343,"author":1344},"/ckeefer/2013-3/ajax-upload","Ajax Upload Part I: Framed (and jQuery Deferred)","Inevitably, people want their files on the Internet. If your project is about cute cats, someone will task you with allowing users to upload photos of their cats, videos of their cats, long rambling audio clips in which they attempt to convince their cat to stop attacking the microphone, etcetera. If your project is about the nature and proclivities of mold, someone, somewhere will want to share detailed photographic evidence of their mold problem. The need to upload files is a given.","2013-03-20",[1316,1340,1341],"jquery","html5","/ckeefer/2013-3/img/upframe.jpg","content:ckeefer:2013-3:ajax-upload.md",{"user":1319,"name":1320},{"_path":1346,"title":1347,"description":1348,"publishDate":1349,"tags":1350,"_id":1352,"author":1353},"/ckeefer/2013-4/teaching-programming","Can (and Should) Everyone Learn to Program?","Fair warning: The following article is long, rambly, and contains no code. It does, however, contain some rumination on the idea that everyone can and should learn to program.","2013-12-03",[1351],"programming","content:ckeefer:2013-4:teaching-programming.md",{"user":1319,"name":1320},{"_path":1355,"title":1356,"description":1357,"publishDate":1358,"tags":1359,"image":1361,"_id":1362,"author":1363},"/ckeefer/2013-5/ajax-uploader","Ajax Upload XHR2, Take 2","It's a pleasure to be able to interact with files in the browser at long last, isn't it? Reading files in without needing to bounce them against the server first opens up a lot of possibilities - and getting progress from a chunked ajax upload is miles away from the indeterminate form uploads of days past.","2014-02-19",[1340,1316,1360],"xhr2","/ckeefer/2013-5/img/html5.jpg","content:ckeefer:2013-5:ajax-uploader.md",{"user":1319,"name":1320},{"_path":1365,"title":1366,"description":1367,"publishDate":1368,"tags":1369,"_id":1370,"author":1371},"/ckeefer/2013-07/anchors-hash","Anchors, Hash Sign, javascript:void(0)","So, you've got a link that, in reality, is just a click target for performing some javascript function. You want the appearance of a standard anchor link, but if it's not performing the intended function, should it really be an anchor? And if so, what should we fill that 'href' attribute in with?","2013-07-29",[1316],"content:ckeefer:2013-07:anchors-hash.md",{"user":1319,"name":1320},{"_path":1373,"title":1374,"description":1375,"publishDate":1376,"_id":1377,"author":1378},"/ckeefer/2013-07/static-vmware-host","Static Hosting with VMWare","Virtualization is one of the many benefits of the excess (metaphorical) horsepower available to us with modern hardware. Need to test against (Windows XP/7/8/NT || Fedora || Mint || Ubuntu || FreeBSD || MacOSX || etc)? Fire up the VM. Need a Linux environment for the packages your server relies on, but need to test in the iPad simulator? VM's to the rescue.","2013-07-26","content:ckeefer:2013-07:static-vmware-host.md",{"user":1319,"name":1320},{"_path":1380,"title":1381,"description":1382,"publishDate":1383,"tags":1384,"_id":1386,"author":1387},"/ckeefer/2013-08/fullproof-fulltext-search","Client-side Fulltext Searching with Fullproof","Recently, I was engaged in a genial argument with a friend of an older generation, each of us taking an opposing stance on some obscure trivia neither of us was entirely certain about - but which we were both ready to defend with all the wit and rhetoric at our disposal. When we had finally exhausted all attempts to make the other budge on the matter, we turned to an authoritative 3rd-party source to lay the matter to rest for us - a Google search.","2013-08-29",[1385,1330],"search","content:ckeefer:2013-08:fullproof-fulltext-search.md",{"user":1319,"name":1320},{"_path":1389,"title":1390,"description":1391,"publishDate":1392,"tags":1393,"_id":1394,"author":1395},"/ckeefer/2013-11/jquery-ajax-blobs","jQuery Ajax Blobs and Array Buffers","A big part of what makes jQuery a regular part of so many web projects is the clean interface it offers us for a number of sometimes messy built-in aspects of javascript. The most obvious is the DOM interface; and in second place, jquery ajax and its various shorthand methods. Abstracting away the difference between ActiveXObject and XMLHttpRequest is one of the most obvious benefits - but even if you don't need to worry about supporting old versions of IE, you might well enjoy the clean, object-based, promise-returning interface that jquery ajax offers.","2013-11-21",[1316,1340],"content:ckeefer:2013-11:jquery-ajax-blobs.md",{"user":1319,"name":1320},{"_path":1397,"title":1398,"description":1399,"publishDate":1400,"tags":1401,"_id":1403,"author":1404},"/ckeefer/2013-12/deploying-with-git","Deploying Websites with Git","Deploying your webapp is an important part of the web development equation - your client's site isn't going to attract a lot of attention sitting in your local dev directory. Deployment concerns tend to fall to the bottom of the priority list, though, and the end result tends to be kludgy, hastily thrown-together deployment scripts; and because they are so kludgy and, often, time consuming, when time crunches threaten, a developer may resort to making changes directly on the remote server that need to be (but sometimes never are) backported to the code living in your version control.","2013-12-23",[1402],"git","content:ckeefer:2013-12:deploying-with-git.md",{"user":1319,"name":1320},{"_path":1406,"title":1407,"description":1408,"publishDate":1409,"tags":1410,"image":1412,"_id":1413,"author":1414},"/ckeefer/2014-1/still-using-php","Still Using PHP?","Poor PHP. It's so lonely and unloved these days.","2014-01-29",[1411],"php","/ckeefer/2014-1/img/php.jpg","content:ckeefer:2014-1:still-using-php.md",{"user":1319,"name":1320},{"_path":1416,"title":1417,"description":1418,"publishDate":1419,"tags":1420,"image":1422,"_id":1423,"author":1424},"/ckeefer/2014-2/ajax-upload-2","Ajax Upload Part II: XHR2 (and FileReader)","So, the client has told you their users should be able to upload their drunken party pictures for all the internet to see. \"We want the very best experience possible,\" they tell you. \"Simple, seamless - maybe using that new html5 thing I've heard so much about.\"","2013-04-09",[1316,1421],"xmlhttprequest","/ckeefer/2014-2/img/html5.jpg","content:ckeefer:2014-2:ajax-upload-2.md",{"user":1319,"name":1320},{"_path":1426,"title":1427,"description":1428,"publishDate":1429,"tags":1430,"_id":1432,"author":1433},"/ckeefer/2014-3/customgmapsinfowindow","Custom Google Maps Info Windows","When it comes time to relate the ephemeral world of data to the physical world, Maps are key in both enterprise and consumer applications. Whatever else you might think of it, Google Maps tends to be the default option - certainly, its the only one I've ever had clients ask for by name.","2014-02-26",[1316,1431],"google-maps","content:ckeefer:2014-3:customgmapsinfowindow.md",{"user":1319,"name":1320},{"_path":1435,"title":1436,"description":1437,"publishDate":1438,"tags":1439,"_id":1441,"author":1442},"/ckeefer/2014-4/hidden-options","Hidden Options: A Workaround","Here's the situation: You've got a select. Maybe a whole bunch of selects, with a ton of options each (metric ton - let's keep our imaginary hyperbolic units straight here); and these are meant to be complex interactive elements, with options made visible or not as some programmatic condition dictates.","2014-04-23",[1440,1316,1340],"how-to","content:ckeefer:2014-4:hidden-options.md",{"user":1319,"name":1320},{"_path":1444,"title":1445,"description":1446,"publishDate":1447,"tags":1448,"_id":1449,"author":1450},"/ckeefer/2014-5/cgwin2","Custom Google Info Windows: Updated, Live","April 30, 2014 at 3:22 am Remy says:","2014-05-09",[1316,1431],"content:ckeefer:2014-5:cgwin2.md",{"user":1319,"name":1320},{"_path":1452,"title":1453,"description":1454,"publishDate":1455,"tags":1456,"image":1459,"_id":1460,"author":1461},"/ckeefer/2014-6/backbonesocketsync","Websockets for Backbone","Backbone's had some of its thunder stolen lately by trendier frameworks like Meteor and Angular; for good reason, in most cases, as without the prosthetic functionality offered by the likes of Marionette, Backbone's view handling (amongst a few other lacks and warts) is really just 'roughed in'.","2014-06-25",[1316,1457,1458],"websockets","backbone","/ckeefer/2014-6/img/WebsocketsPlusBackbone.png","content:ckeefer:2014-6:backbonesocketsync.md",{"user":1319,"name":1320},{"_path":1463,"title":1464,"description":1465,"publishDate":1466,"tags":1467,"_id":1468,"author":1469},"/ckeefer/2014-7/promises","It's a (jQuery-style) Promise","Way back when I brought up the topic of promises (particularly, jQuery Deferred), and I promised we would come back to the topic someday.","2014-10-16",[1316,1340],"content:ckeefer:2014-7:promises.md",{"user":1319,"name":1320},{"_path":1471,"title":1472,"description":1473,"publishDate":1474,"tags":1475,"_id":1476,"author":1477},"/ckeefer/2014-8/behold-views","Behold! (JavaScript Views)","JavaScript has the propensity to be very untidy - if you let it, it will sprawl all over the place. Hundreds of global variables scattered across dozens of files, messy half-measures towards object-orientation, mixed in seemingly at random with ungrouped functions - anyone who's had a client bring them a failed project from some other development team knows just how bad it can get.","2015-01-07",[1316],"content:ckeefer:2014-8:behold-views.md",{"user":1319,"name":1320},{"_path":1479,"title":1480,"description":1481,"publishDate":1482,"tags":1483,"image":1484,"_id":1485,"author":1486},"/ckeefer/2015-1/writeonce","Write Once, Debug Everywhere","It's pretty seldom that anyone mentions web pages these days, other than in historical reference to days long gone by (yes, a whole few years ago). Web sites, sure, but not if what is really wanted is to replace something that, not so long ago, would have been some native code for a smartphone (or a little further back still, a desktop computer). Generally speaking, the most common term tripping from client's lips these days is 'web applications' - or webapps, because who has time for spaces and proper spelling, amirite?","2015-02-02",[1316],"/ckeefer/2015-1/img/html5java.jpg","content:ckeefer:2015-1:writeonce.md",{"user":1319,"name":1320},{"_path":1488,"title":1489,"description":1490,"publishDate":1491,"tags":1492,"_id":1493,"author":1494},"/ckeefer/2015-2/js-frameworks","The What and Why of Javascript Frameworks","JavaScript has the propensity to be very untidy if you let it be. This isn't a problem unique to JavaScript, of course - many other languages suffer from a lack of native organization, especially for specific tasks.","2015-05-29",[1316],"content:ckeefer:2015-2:js-frameworks.md",{"user":1319,"name":1320},{"_path":1496,"title":1497,"description":1498,"publishDate":1499,"tags":1500,"_id":1503,"author":1504},"/ckeefer/2015-3/emailvalidation","Email Validation with Django and python-social-auth","When it comes to user accounts, the standard litmus test is email validation. Besides the immediate benefits - of offering us a straightforward unique identifier for users, and making it more difficult to automate creating a mass of accounts on our service - by requiring that each account have an email address and interact therewith to confirm the addresses validity, it also offers us the chance to associate a known-working email account with a user account. This is important for transactional emails such as password resets or for potential two-factor authentication use... and if you're a little less ethical, for sending marketing desirable and informative emails about interesting products and services.","2015-07-23",[1501,1502],"python","django","content:ckeefer:2015-3:EmailValidation.md",{"user":1319,"name":1320},{"_path":1506,"title":1507,"description":1508,"publishDate":1509,"tags":1510,"_id":1511,"author":1512},"/ckeefer/2015-5/file-reader-chunking","FileReader Chunking and Base64 DataURLs","In a hurry? You can now use our HUp jquery plugin to read files in a chunked fashion as data URLs. Hooray!","2015-12-15",[1316,1340],"content:ckeefer:2015-5:file-reader-chunking.md",{"user":1319,"name":1320},{"_path":1514,"title":1515,"description":1516,"publishDate":1517,"tags":1518,"_id":1519,"author":1520},"/ckeefer/2016-1/ajaxbinarycaching","Caching Binary Data With jQuery Ajax and IndexedDB","After long, grueling months (years? or does it only feel like years?), your web application nears completion. It is tightly coded, well documented, works across all modern browsers, and is well received by your beta testers. It's nearly time to go live, and a smile of pure relief plays upon your lips... and freezes into a rictus grin when your client turns to you, and asks, \"so, hey, can we speed up the dynamic cat pic loading? Especially when I close the browser and come back to it later. I think that's really key to the whole application.\"","2016-04-25",[1316,1340],"content:ckeefer:2016-1:ajaxBinaryCaching.md",{"user":1319,"name":1320},{"_path":1522,"title":1523,"description":1524,"publishDate":1525,"tags":1526,"_id":1527,"author":1528},"/ckeefer/2016-2/paymentprocessing","Payment Processing with Braintree","You've built the web application of the century, and the users have rightly flooded to it. Cat pictures for everyone!","2016-05-11",[1502,1316,1340,1501],"content:ckeefer:2016-2:paymentprocessing.md",{"user":1319,"name":1320},{"_path":1530,"title":1531,"description":1532,"publishDate":1533,"tags":1534,"_id":1535,"author":1536},"/ckeefer/2016-3/djangochannels1","Django Channels: From the Ground Up - Part 1","You stare mournfully into the mass of code you've inherited. At some point, it's clear, the requirements called for the server to push information to the client, because there's an unholy mix of Server-Side Events, long-polling, hidden iframes and even a Java applet in there, all supporting some level of long-term connectivity with the server. It's almost fascinating in its barely functional hideousness, and you would be inclined to leave well enough alone... except for the new feature specifications you've been assigned, which require the client to be able to send data back to the server in response to the received events, in as close to real-time as you can get.","2016-06-13",[1502,1501,1457],"content:ckeefer:2016-3:djangoChannels1.md",{"user":1319,"name":1320},{"_path":1538,"title":1539,"description":1540,"publishDate":1541,"tags":1542,"_id":1543,"author":1544},"/ckeefer/2016-4/djangochannels2","Django Channels: From the Ground Up - Part 2","Last time, we decided to embark on a brave new adventure and give our Django framework a big upgrade with the inclusion of Django Channels. We got just far enough to get the development server running, but while this may be an adequate start, it's better to develop against something like what we intend to deploy, right?","2016-06-15",[1502,1501,1457],"content:ckeefer:2016-4:djangochannels2.md",{"user":1319,"name":1320},{"_path":1546,"title":1547,"description":1548,"publishDate":1549,"tags":1550,"_id":1551,"author":1552},"/ckeefer/2016-6/gofetch1","Go Fetch! (JavaScript Fetch API)","Long ago, we briefly brushed upon the topic of what has made jQuery such a valuable part of the web developer's toolset for such a long time - namely, a cleaner interface for interacting with the DOM, and the $.ajax abstraction over XMLHttpRequest.","2016-10-03",[1316,1340,1164],"content:ckeefer:2016-6:goFetch1.md",{"user":1319,"name":1320},{"_path":1554,"title":1555,"description":1556,"publishDate":1557,"tags":1558,"_id":1559,"author":1560},"/ckeefer/2016-7/gofetch2","Go Fetch 2! (JavaScript Fetch API)","Last time we discussed the Fetch API in general, taking a look at how it differed from the XMLHttpRequest API, and some of its advantages. Today, we're going to take a look at a little library that you can include in your projects today that offers you localStorage caching for the Fetch API.","2016-10-10",[1316,1340,1164],"content:ckeefer:2016-7:goFetch2.md",{"user":1319,"name":1320},{"_path":1562,"title":1563,"description":1564,"publishDate":1565,"tags":1566,"_id":1569,"author":1570},"/ckeefer/2016-8/herokupdf","Generating PDFs: wkhtmltopdf & Heroku","So, it has come to this.","2016-12-21",[1567,1568,1501],"heroku","pdf","content:ckeefer:2016-8:HerokuPDF.md",{"user":1319,"name":1320},{"_path":1572,"title":1573,"description":1574,"publishDate":1575,"tags":1576,"_id":1577,"author":1578},"/ckeefer/2017-1/downloadingclientsidecontent","Downloading Client-side Generated Content","A young developer, new to the Tao of the client-side, comes to a Master of the way, and speaks thusly: \"Oh Master, our application nears completion; and lo, cat pics can be drawn upon, and captions fixated thereto, for the creation of humour and the bounteous enjoyment of our users.\"","2017-02-06",[1316],"content:ckeefer:2017-1:downloadingclientsidecontent.md",{"user":1319,"name":1320},{"_path":1580,"title":1581,"description":1582,"publishDate":1583,"tags":1584,"_id":1587,"author":1588},"/ckeefer/2017-2/morepwatoya-part1","More PWA to Ya! (Progressive Web Apps, Part 1)","It's project kickoff time, and you're having a conversation with your client about what form the application will take:","2017-02-01",[1585,1586,1164],"pwa","mobile","content:ckeefer:2017-2:MorePWAToYa-Part1.md",{"user":1319,"name":1320},{"_path":1590,"title":1591,"description":1592,"tags":1593,"publishDate":1594,"_id":1595,"author":1596},"/ckeefer/2017-3/morepwatoya-part2","More PWA to Ya! (Progressive Web Apps, Part 2)","Last time, we got into the nitty gritty on how to make your web application into a Progressive Web Application (PWA to it's friends). I promised we'd dig even deeper this time, and show you how to make your web app a little more 'native' on Android - and how to deal with iOS Safari's special snowflake syndrome.",[1586,1585,1164],"2017-03-01","content:ckeefer:2017-3:MorePWAToYa-Part2.md",{"user":1319,"name":1320},{"_path":1598,"title":1599,"description":1600,"image":1601,"publishDate":1602,"tags":1603,"_id":1605,"author":1606},"/ckeefer/2019-1/unlockingwebaudio","Unlocking Web Audio","\"It's going to be the coolest thing ever.\"","/ckeefer/2019-1/img/featured_image.jpg","2019-01-01",[1316,1604],"audio","content:ckeefer:2019-1:UnlockingWebAudio.md",{"user":1319,"name":1320},{"_path":1608,"title":1609,"description":1610,"publishDate":1611,"image":1612,"tags":1613,"_id":1615,"author":1616},"/ckeefer/2020-1/why-vue","Why Vue","Why choose Vue over any other front-end framework?","2020-01-01","/ckeefer/2020-1/img/vue-wall.jpg",[1316,1614],"vue","content:ckeefer:2020-1:Why Vue.md",{"user":1319,"name":1320},{"_path":1618,"title":1619,"description":1620,"tags":1621,"image":1624,"publishDate":1625,"_id":1626,"author":1627},"/ckeefer/2024-3/e2e_testing","E2E Testing: To What End?","Friend, can we agree that tests are a good idea? I won't scorn you for sometimes omitting them - time and budget constraints are what they are, and even the best intentioned of us sometimes have to just give our projects a lick and a promise. \"Proper test coverage soon\", you sweetly croon as you rock it to sleep, the knowledge that you're telling a dark, terrible lie twisting you up inside. Maybe you could just scrape enough budget together for some simple unit tests? Then, at least, you'd have \"tests\", right?",[1185,1184,1622,1623],"e2e","playwright","/ckeefer/2024-3/img/E2E_Testing_2024.png","2024-06-15","content:ckeefer:2024-3:e2e_testing.md",{"user":1319,"name":1320},{"_path":1629,"title":1630,"description":1631,"tags":1632,"image":1634,"publishDate":1635,"_id":1636,"author":1637},"/ckeefer/2024-7/vpubsub","Vue 3 Pub / Sub: All aboard the (event) bus","We like Vue at A+L. We think it's one of the best frontend frameworks, and a great choice pretty much anywhere you might otherwise be tempted to use React.",[1316,1614,1633],"pub/sub","/ckeefer/2024-7/img/event_bus.png","2024-08-15","content:ckeefer:2024-7:VPubSub.md",{"user":1319,"name":1320},{"_path":1639,"title":1640,"description":1641,"publishDate":1642,"tags":1643,"_id":1644,"author":1645},"/cmacksey/2012-5/php-musings","PHP Musings","Ran into an interesting, but thorough, rant the other day - PHP: A Fractal of Bad Design. The part that grabbed me the most was the analogy at the beginning, which was all too perfect:","2012-05-07",[1411],"content:cmacksey:2012-5:php-musings.md",{"user":1646,"name":1647},"cmacksey","Chris Macksey",{"_path":1649,"title":1650,"description":1651,"publishDate":1652,"image":1653,"author":1654,"tags":1655,"_id":1661},"/cperez/2026-06-17/xamarin-to-maui","Migrating a Xamarin Medical Application to .NET MAUI","A widely used medical reference application built with Xamarin had become increasingly difficult to maintain as platform support deadlines approached. The client needed to modernize the application before operating system changes and framework deprecations created larger compatibility risks.","2026-06-22","/cperez/2026-06-17/img/xamarin-to-maui.png",{"name":13,"user":14},[1656,1657,1658,1659,1660,1586],"legacy modernization","xamarin",".net","maui","app migration","content:cperez:2026-06-17:xamarin-to-maui.md",{"_path":1663,"title":1664,"description":1665,"publishDate":1666,"image":1667,"author":1668,"tags":1669,"_id":1672},"/cperez/2026-06-25/ai_makes_modernization_feasible","How AI-Assisted Legacy Modernization Reduces Cost, Risk, and Project Timelines","Many organizations know they need to modernize their legacy applications. They also know why they haven't.","2026-06-25","/cperez/2026-06-25/img/ai_makes_modernization_feasible.png",{"name":13,"user":14},[1656,1670,16,1671],"tech debt","legacy migration","content:cperez:2026-06-25:ai_makes_modernization_feasible.md",{"_path":1674,"title":1675,"description":1676,"publishDate":1677,"image":1678,"author":1679,"tags":1680,"_id":1684},"/cperez/2026-06-30/how-ceos-should-evaluate-ai-investments","How Should CEOs Evaluate AI Investments?","CEOs should evaluate AI investments by asking whether the investment improves a measurable business outcome, changes a real workflow, keeps humans appropriately involved, has a realistic path to production, and creates value that outweighs cost and risk.","2026-06-30","/cperez/2026-06-30/img/how-ceos-should-evaluate-ai-investments.jpg",{"name":13,"user":14},[1681,1682,1683,16,18],"agentic ai","ai investment","humans in the loop","content:cperez:2026-06-30:how-ceos-should-evaluate-ai-investments.md",{"_path":1686,"title":1687,"description":1688,"publishDate":1689,"image":1690,"author":1691,"tags":1692,"_id":1694},"/cperez/2026-07-02/hidden-costs-of-legacy-software","What Are the Hidden Costs of Legacy Software?","Legacy software is rarely “bad” software.","2026-07-02","/cperez/2026-07-02/img/hidden-costs-of-legacy-software.jpg",{"name":13,"user":14},[1656,1693],"legacy software","content:cperez:2026-07-02:hidden-costs-of-legacy-software.md",{"_path":5,"title":9,"description":10,"publishDate":6,"image":11,"author":1696,"tags":1697,"_id":1151},{"name":13,"user":14},[16,17,18,19],{"_path":1699,"title":1700,"description":1701,"publishDate":1702,"image":1703,"author":1704,"tags":1705,"_id":1709},"/cperez/2026-07-09/5-rs-application-modernization-legacy-software","Art+Logic’s 5 Rs of Application Modernization: How to Choose the Right Path for Legacy Software","Legacy software creates a strange kind of tension.","2026-07-01","/cperez/2026-07-09/img/5-rs-application-modernization-legacy-software.jpg",{"name":13,"user":14},[1706,1707,16,1708],"5-rs","legacy","application modernization","content:cperez:2026-07-09:5-rs-application-modernization-legacy-software.md",{"_path":1711,"title":1712,"description":1713,"publishDate":1714,"tags":1715,"_id":1717,"author":1718},"/dpopowich/2021-07-30/data-collector","Asynchronous Python - A Real World Example","A dive into a real example of async Python usage.","2021-07-30",[1501,1440,1716],"async","content:dpopowich:2021-07-30:data-collector.md",{"user":1719,"name":1720},"dpopowich","Daniel Popowich",{"_path":1722,"title":1723,"description":1724,"tags":1725,"image":1727,"publishDate":1728,"_id":1729,"author":1730},"/dpopowich/2023-8/postgres-pubsub","Using PostgreSQL for Pub/Sub","A+L has been working on a Single Page Application (SPA) wherein our client's users take on the role of Staff Users (think: project managers) as they aid their Customer Users in using the application to complete a complex project.",[1726,1501,1716],"postgresql","/dpopowich/2023-8/img/psql_pub_sub.png","2024-04-15","content:dpopowich:2023-8:postgres-pubsub.md",{"user":1719,"name":1720},{"_path":1732,"title":1733,"description":1734,"tags":1735,"image":1738,"publishDate":1739,"_id":1740,"author":1741},"/ewahl/2025-05/escape_deployment_hell","Escape Deployment Hell: IaC, CDK, Ephemeral Environments, and the Pragmatic Path to Platform Power","Another Friday afternoon, another deployment fire. If this sounds familiar, you're not alone. On too many projects, the chasm between application code and infrastructure management breeds manual configuration nightmares, crippling complexity, and agonizingly slow development cycles. But what if your team could sidestep this chaos, focusing on building features instead of constantly battling deployment gremlins?",[1736,1737,1501],"devops","aws","/ewahl/2025-05/img/deployment_hell.png","2025-05-13","content:ewahl:2025-05:escape_deployment_hell.md",{"user":1742,"name":1743},"ewahl","Edward F. Wahl",{"_path":1745,"title":1746,"description":1747,"publishDate":1748,"image":1749,"tags":1750,"_id":1751,"author":1752},"/ewahl/2025-06/argued_with_ai","I Argued With an AI for 20 Minutes About Async Code — And I'm Surprisingly Happy","If you have ever spent twenty minutes debating an obscure AWS Lambda invocation pattern with an AI, you might question your life choices. But here I am: amused by the wasted time but ultimately happy with the outcome and understanding I gained.","2026-06-01","/ewahl/2025-06/img/argued_with_ai.png",[1736,1737,1501],"content:ewahl:2025-06:argued_with_ai.md",{"user":1742,"name":1743},{"_path":1754,"title":1755,"description":1756,"tags":1757,"image":1758,"publishDate":1285,"_id":1759,"author":1760},"/jbagley/2019-4/makingspectrogramsinjuce","Making Spectrograms in JUCE","Art+Logic's Incubator project has made a lot of progress. In a previous post I mentioned that Dr. Scott Hawley's technique to classify audio involved converting audio to an image and using a Convolution Neural Network (CNN) to classify the audio based on this image. That image is a spectrogram. I'm going to go into some detail about what we do to create one, and why to the best of my ability.",[1202,1277,1604],"/jbagley/2019-4/img/Fortissimo_Trumpet_Ensemble_Matrix_Swells_61.wav-2048x1700.png","content:jbagley:2019-4:MakingSpectrogramsInJUCE.md",{"user":1761,"name":1762},"jbagley","Jason Bagley",{"_path":1764,"title":1765,"description":1766,"tags":1767,"image":1769,"publishDate":1770,"_id":1771,"author":1772},"/jbagley/2021-07/softwaresenescence","Legacy Vulnerabilities AKA Software Senescence","Does your business still have an XT computer in the back office because it's\nrunning that one version of some database software that your business depends\non? Yeah, we know there is. Most modern software doesn't work like that.",[1707,1768],"project-management","/jbagley/2021-07/img/old_software_to_new.jpg","2021-07-01","content:jbagley:2021-07:SoftwareSenescence.md",{"user":1761,"name":1762},{"_path":1774,"title":1775,"description":1776,"tags":1777,"image":1779,"publishDate":1780,"_id":1781,"author":1782},"/jbagley/2021-08-01/accuratetiming","Accurate Timing","In many tasks we need to do something at given intervals of time. The most obvious ways may not give you the best results.",[1277,1778],"timing","/jbagley/2021-08-01/img/accurateTiming.jpg","2021-08-01","content:jbagley:2021-08-01:AccurateTiming.md",{"user":1761,"name":1762},{"_path":1784,"title":1785,"description":1786,"tags":1787,"image":1791,"publishDate":1792,"_id":1793,"author":1794},"/jbagley/2023-06-01/universal_ffmpeg_custom_builds","Building Universal FFmpeg Custom Binaries","I am using a very pared down set of FFMpeg features for a macOS project that I\nbuild into a custom library. I had a script set up to configure the build which\nworked fine on my Intel based MacBook Pro. Then I upgraded to an Apple Silicon\nMacBookPro and wanted to run natively, or at least see what happened when I\ndid. To build, FFMpeg uses autoconf which produces a makefile that then handles\nthe build.",[1788,1789,1790,1200],"c","bash","ffmpeg","/jbagley/2023-06-01/img/header.png","2024-04-01","content:jbagley:2023-06-01:Universal_FFMPEG_custom_builds.md",{"user":1761,"name":1762},{"_path":1796,"title":1797,"description":1798,"publishDate":1799,"image":1800,"tags":1801,"_id":1805,"author":1806},"/jbagley/2025-08/a_developers_primer_on_apple_tracking_transparency","A Primer on Apple's App Tracking Transparency","If an app tracks user activity, Apple requires them to declare all information they collect as well as whether that data is linked or tracked. This includes collection by the app itself and any third parties the app uses. The app owner is responsible for knowing and correctly reporting privacy information for all components in the app.","2026-05-22","/jbagley/2025-08/img/apple_app_transparency.png",[1802,1803,1199,1804],"app tracking transparency","att","macos","content:jbagley:2025-08:a_developers_primer_on_apple_tracking_transparency.md",{"user":1761,"name":1762},{"_path":1808,"title":1809,"description":1810,"tags":1811,"image":1815,"publishDate":1816,"_id":1817,"author":1818},"/jestep/2023-3/fastapi","FastAPI: A High-Performance Python Framework for Rapid Web Development","FastAPI is a modern and high-performance Python web framework designed specifically for building APIs and web applications quickly and efficiently. Developed by Sebastián Ramírez and first released in 2018, FastAPI has rapidly gained traction in the developer community thanks to its focus on providing key features for API and web app development with excellent performance.",[1501,1812,1502,1813,1814],"fastapi","flask","pyramid","/jestep/2023-3/img/header.png","2024-05-01","content:jestep:2023-3:fastapi.md",{"user":1819,"name":1820},"jestep","Jagger Estep",{"_path":1822,"title":1823,"description":1824,"publishDate":1825,"tags":1826,"image":1830,"_id":1831,"author":1832},"/nharrison/2012-07/core-data","Securing Your Core Data with Transformable Attributes","In order to store private data in an iOS Core Data database, there are several methods available for encryption, including:","2012-07-30",[1827,1828,1199,1214,1829],"core-data","encryption","objective-c","/nharrison/2012-07/img/superman.jpg","content:nharrison:2012-07:core-data.md",{"user":1833,"name":1834},"nharrison","Noah Harrison",{"_path":1836,"title":1837,"description":1838,"tags":1839,"publishDate":1844,"image":1845,"_id":1846,"author":1847},"/phendry/2019-3/restfromthebottomup","REST from the Bottom Up","The RESTful API has a funny place in the software development world: it's widely regarded as the best general-purpose pattern for building web application APIs, and yet it's also nebulous enough of a concept to cause endless disagreements within teams over exactly how to implement one.",[1840,1841,1842,1843],"rest","api","web","architecture","2019-10-01","/phendry/2019-3/img/feature_image.png","content:phendry:2019-3:RestFromTheBottomUp.md",{"user":1848,"name":1849},"phendry","Paul Hendry",{"_path":1851,"title":1852,"description":1853,"tags":1854,"publishDate":1770,"image":1855,"_id":1856,"author":1857},"/phendry/2021-06/smoothupgradestovue3","Smooth Upgrades to Vue 3","This post assumes basic familiarity with Vue.js v2.x.",[1316,1614,1440],"/phendry/2021-06/img/vue-transition.jpg","content:phendry:2021-06:SmoothUpgradesToVue3.md",{"user":1848,"name":1849},{"_path":1859,"title":1860,"description":1861,"image":1862,"tags":1863,"publishDate":1714,"_id":1864,"author":1865},"/phendry/2021-07-30/spotthevulndataranges","Spot the Vulnerability: Data Ranges and Untrusted Input","In 1997, a flaw was discovered in how Linux and Windows handled IP fragmentation, a Denial-of-Service vulnerability which allowed systems to be crashed remotely.","/phendry/2021-07-30/img/vulnerability.jpg",[1214,1164],"content:phendry:2021-07-30:SpotTheVulnDataRanges.md",{"user":1848,"name":1849},{"_path":1867,"title":1868,"description":1869,"tags":1870,"image":1871,"publishDate":1872,"_id":1873,"author":1874},"/phendry/2021-08-15/exploringdependenttypesinidris","Exploring Dependent Types in Idris","When I'm not coding the \"impossible\" at Art+Logic, I take a lot of interest in new programming technologies and paradigms; even if they're not yet viable for use in production, there can often be takeaways for improving your everyday code.",[1351],"/phendry/2021-08-15/img/dependent-types.jpg","2021-08-15","content:phendry:2021-08-15:ExploringDependentTypesInIdris.md",{"user":1848,"name":1849},{"_path":1876,"title":1877,"description":1878,"tags":1879,"image":1880,"publishDate":1881,"_id":1882,"author":1883},"/phendry/2021-10-30/spotthevulnloopsandtermconditions","Spot the Vulnerability: Loops and Terminating Conditions","In memory-unsafe languages like C, special care must be taken when copying untrusted data, particularly when copying it to another buffer. In this post, we'll spot and mitigate a past vulnerability in Linux's NTP daemon.",[1214,1164],"/phendry/2021-10-30/img/vulnerability-2.jpg","2021-10-30","content:phendry:2021-10-30:SpotTheVulnLoopsAndTermConditions.md",{"user":1848,"name":1849},{"_path":1885,"title":1886,"description":1887,"image":1888,"tags":1889,"publishDate":1890,"_id":1891,"author":1892},"/phendry/2022-07-21/migratingfromexpresstofastifypart1","Migrating from Express to Fastify, Part 1","Express.js has for years been the dominant lightweight Web framework for Node.js, but over time its development has stalled, with its latest major version (5.0) still in pre-release nearly eight years after its first alpha release. There's a lot to be said for this sort of stability in a foundational dependency for a project, but it's worth assessing whether the added features of competing frameworks are worth making a switch. In this article we'll be looking at Fastify in particular, to understand what it has to offer compared to Express and how difficult it is to migrate an existing Express project.","/phendry/2022-07-21/img/Migrating from Express to Fastify, Part 1.png",[1316,1164],"2023-12-01","content:phendry:2022-07-21:MigratingFromExpressToFastifyPart1.md",{"user":1848,"name":1849},{"_path":1894,"title":1895,"description":1896,"image":1897,"tags":1898,"publishDate":1899,"_id":1900,"author":1901},"/phendry/2022-07-28/migratingfromexpresstofastifypart2","Migrating from Express to Fastify, Part 2","In Part 1, we looked at the features of the Fastify Node.js Web framework compared to Express.js. In Part 2, we'll work through migrating an example Express.js application to Fastify.","/phendry/2022-07-28/img/Migrating from Express to Fastify, Part 2.png",[1316,1164],"2023-12-31","content:phendry:2022-07-28:MigratingFromExpressToFastifyPart2.md",{"user":1848,"name":1849},{"_path":1903,"title":1904,"description":1905,"tags":1906,"image":1907,"publishDate":1908,"_id":1909,"author":1910},"/phendry/2023-01-19/badcode","\"Bad\" Code (Or, Why Software Development is Hard)","Recently, the Dutch government open-sourced the iOS application for their \"DigiD\" authentication service. A tweet with a snippet of that source code, presumably making fun of it, blew up into a debate about whether mocking it is even justified. The amount of debate over such a simple snippet of code highlights, in my mind, just how tricky software development can be.",[1214,1164],"/phendry/2023-01-19/img/Bad Code.png","2024-01-15","content:phendry:2023-01-19:BadCode.md",{"user":1848,"name":1849},{"_path":1912,"title":1913,"description":1914,"image":1915,"publishDate":1916,"tags":1917,"_id":1918,"author":1919},"/phendry/2023-01-31/forgetaboutcodestyle","Forget About [Code] Style","Good code style, being highly subjective, is something often debated among developers. After all, we spend more time reading code than writing it, so it's worth making sure our code is styled to be as easy as possible to read and to understand. On the other hand, deciding upon and continuously enforcing a style is also time-consuming, and the benefits are near-impossible to quantify. Given that modern code formatting tools can fully automate the process, is it still worth fretting about style?","/phendry/2023-01-31/img/forget_style_header.png","2024-02-01",[1351],"content:phendry:2023-01-31:ForgetAboutCodeStyle.md",{"user":1848,"name":1849},{"_path":1921,"title":1922,"description":1923,"image":1924,"tags":1925,"publishDate":1926,"_id":1927,"author":1928},"/phendry/2023-04-02/semantichtml","Don't Give Up on Semantic HTML","Since the early days of the Web, there has been tension between the ideal of \"semantic HTML\" and the practical reality of designing complex page layouts, which often could not be achieved without inserting style concerns into the document. More recently, frameworks like Tailwind CSS have emerged which challenge the very idea that semantic HTML is an ideal to strive for, and which commit to thoroughly embedding style concerns into HTML documents. With modern CSS features however, semantic HTML is more achievable than ever, and I do think it remains a worthy goal.","/phendry/2023-04-02/img/Don't Give Up on Semantic HTML.png",[1351],"2024-03-01","content:phendry:2023-04-02:SemanticHtml.md",{"user":1848,"name":1849},{"_path":1930,"title":1931,"description":1932,"image":1933,"tags":1934,"publishDate":1935,"_id":1936,"author":1937},"/phendry/2023-05-16/doyouneedacsspreprocessor","Do You Need a CSS Preprocessor in 2023?","CSS preprocessors like Less, Sass and Stylus have long provided powerful features that vanilla CSS lacked: variables, nesting of rulesets, mixins, control flow constructs, etc. These days however, the feature gap is considerably narrower, and it's not so clear that the benefits of a preprocessor outweight the burdens of setting it up.","/phendry/2023-05-16/img/css_preprocessor_header.png",[1351],"2023-01-01","content:phendry:2023-05-16:DoYouNeedACSSPreprocessor.md",{"user":1848,"name":1849},{"_path":1939,"title":1940,"description":1941,"image":1942,"publishDate":1943,"tags":1944,"_id":1945,"author":1946},"/phendry/2023-07-28/dependencymanagement","Software Dependency Management: Best Practices","Leveraging third-party libraries and frameworks is essential in most modern software projects, and the projects we build at Art+Logic are no exception. The pressure on developers to rapidly deliver features is high, and there are so many commonalities in the details of each project (particularly in Web development) that a lot of development time can be saved by using well-designed libraries that handle the details.","/phendry/2023-07-28/img/dependency_header.png","2023-01-02",[1351],"content:phendry:2023-07-28:DependencyManagement.md",{"user":1848,"name":1849},{"_path":1948,"title":1949,"description":1950,"tags":1951,"publishDate":1954,"image":1955,"_id":1956,"author":1957},"/phendry/2023-11-06/frontendframeworksin2024","Frontend Frameworks in 2024: React, Svelte and Vue","Several years ago, Art+Logic settled on Vue.js as our preferred frontend Web framework. Now, in 2024, we feel it's time to revisit the frontend framework landscape to see how things have (or haven't) changed.",[1351,1952,1953,1614],"react","svelte","2024-05-15","/phendry/2023-11-06/img/frontend_frameworks_2024.png","content:phendry:2023-11-06:FrontendFrameworksIn2024.md",{"user":1848,"name":1849},{"_path":1959,"title":1960,"description":1961,"publishDate":1962,"tags":1963,"image":1966,"_id":1967,"author":1968},"/rbrubaker/2012-06/arduino-thermometer","Turn Your Mac into a Thermometer with Arduino","The topic of the Arduino came up around A&L's \"virtual water cooler\" last week. About a year and a half ago, I purchased a SparkFun Inventor's Kit for Arduino. The kit is a fun way for a hardware novice like me to get started and learn some basics. It comes with more than a dozen sample projects such as lighting LEDs, spinning a motor and generating audio.","2012-06-28",[1964,1965],"arduino","java","/rbrubaker/2012-06/img/arduino1.jpg","content:rbrubaker:2012-06:arduino-thermometer.md",{"user":1969,"name":1970},"rbrubaker","Ryan Brubaker",{"_path":1972,"title":1973,"description":1974,"publishDate":1975,"tags":1976,"_id":1979,"author":1980},"/rbrubaker/2012-06/coffe-backbone-1","Fun with CoffeeScript and Backbone.js : Part 1","CoffeeScript has been all the rage lately and I've been wanting to hop on board the bandwagon. I've also seen Backbone.js mentioned quite a bit and was even more intrigued after listening to this .NET Rocks podcast. I decided to convert some plain JavaScript code I had in a side project to use both CoffeeScript and Backbone.js and see how things went.","2012-06-06",[1977,1978,1341,1164],"backbone-js","coffeescript","content:rbrubaker:2012-06:coffe-backbone-1.md",{"user":1969,"name":1970},{"_path":1982,"title":1983,"description":1984,"publishDate":1985,"tags":1986,"_id":1987,"author":1988},"/rbrubaker/2012-06/coffee-backbone-2","Fun with CoffeeScript and Backbone.js : Part 2","In this post I’ll discuss the code that handles updating the UI.","2012-06-07",[1977,1978,1341,1164],"content:rbrubaker:2012-06:coffee-backbone-2.md",{"user":1969,"name":1970},{"_path":1990,"title":1991,"description":1992,"publishDate":1993,"tags":1994,"_id":1995,"author":1996},"/rbrubaker/2012-06/coffee-backbone-3","Fun with CoffeeScript and Backbone.js : Part 3","In this post I’ll discuss my thoughts on CoffeeScript and Backbone.js.","2012-06-08",[1977,1978,1341,1164],"content:rbrubaker:2012-06:coffee-backbone-3.md",{"user":1969,"name":1970},{"_path":1998,"title":1999,"description":2000,"publishDate":2001,"tags":2002,"_id":2003,"author":2004},"/rbrubaker/2012-07/prototypal-js","Prototypal vs. Functional Inheritance in JavaScript","If you ever found JavaScript's prototypal inheritance confusing, do yourself a favor and open this article, open a JavaScript console and code each example in the article. You will definitely come away with a better understanding of how prototypal inheritance works in JavaScript.","2012-07-11",[1978,1316],"content:rbrubaker:2012-07:prototypal-js.md",{"user":1969,"name":1970},{"_path":2006,"title":2007,"description":2008,"publishDate":2009,"tags":2010,"_id":2011,"author":2012},"/rbrubaker/2012-07/whither-pm","Whither Project Management?","When I was first asked to manage a project at Art & Logic, I had my reservations. Did I really want to start down a career path that led to less development? Would my skills as a developer go stale? My first few projects as a manager were solo projects so I still had plenty of development work and fortunately, I found myself to be a pretty easy person to manage. As time went on I started managing larger projects and with them came the responsibility to manage other developers. To my surprise I found project management to be rewarding and dare I say, even fun. It's very satisfying to work with clients, helping them define their visions and seeing those visions come to life.","2012-07-25",[1768],"content:rbrubaker:2012-07:whither-pm.md",{"user":1969,"name":1970},{"_path":2014,"title":2015,"description":2016,"tags":2017,"image":2020,"publishDate":1285,"_id":2021,"author":2022},"/scharette/2019-4/discover_machine_learning","Discover Machine Learning","Computers have been around for less than 100 years.  In that short period of time, some incredible things have happened:  they've been universally adopted so quickly that we have them in our houses.  In our cars.  Even in our pockets.  In the last 40 years, there have been many significant events when it comes to computers:",[2018,2019,1277],"machine-learning","neural-networks","/scharette/2019-4/img/discover_machine_learning.png","content:scharette:2019-4:discover_machine_learning.md",{"user":2023,"name":2024},"scharette","Stéphane Charette",{"_path":2026,"title":2027,"description":2028,"publishDate":2029,"image":2030,"tags":2031,"_id":2033,"author":2034},"/shuey/2012-05/baas","BaaS Offerings Continue to Grow","The makers of Simplenote recently introduced their Backend as a Service (BaaS) offering called Simperium that looks to compete in an increasingly crowded space with services like CloudMine, Kinvey, and Parse and to some extent with iCloud for iOS and OS X only apps. So just how crowded is this space? Back in February, Kinvey published their own map of the BaaS ecosystem that highlights different tiers of the ecosystem and various relationships between them.","2012-05-10","/shuey/2012-05/img/header.png",[2032],"baas","content:shuey:2012-05:baas.md",{"user":2035,"name":2036},"shuey","Steven Huey",{"_path":2038,"title":2039,"description":2040,"publishDate":2041,"tags":2042,"image":2044,"_id":2045,"author":2046},"/shuey/2012-05/cloud","Under the Sheets with iCloud and Core Data","Drew McCormack is writing a great series (Part 1, Part 2, Part 3) of posts about using iCloud for syncing Core Data managed data. It's harder than Apple lets on and Drew has done a great job of uncovering how this actually works.","2012-05-28",[1200,2043],"icloud","/shuey/2012-05/img/icloud.jpg","content:shuey:2012-05:cloud.md",{"user":2035,"name":2036},{"_path":2048,"title":2049,"description":2050,"publishDate":2051,"tags":2052,"_id":2054,"author":2055},"/shuey/2012-05/economics-android","The Economics of Android","If you haven't already do yourself a favor and head over to asymco.com to catch Horace Deidu's multi-post series on \"The Economics of Android\". Horace and Dan Benjamin discuss the series during this week's Critical Path podcast as well. Horace is a former analyst for Nokia and has been writing Asymco for a few years now. His analysis of the mobile industry and Apple's place within it in particular has been featured in publications such as Bloomberg and Forbes.","2012-05-17",[2053],"android","content:shuey:2012-05:economics-android.md",{"user":2035,"name":2036},{"_path":2057,"title":2058,"description":2059,"publishDate":1642,"tags":2060,"_id":2063,"author":2064},"/shuey/2012-05/iot","The Internet of Things and Big Data","I've been following the developments in the \"Internet of Things\" and Big Data / Open Data markets as new apps and tools are released and they look to be two exciting technologies on a collision course. With the advent of internet connected home appliances like Wattvision and Nest that provide real utility to the average home owner at reasonable prices along with crowd funded projects like Air Quality Egg or Twine we should see an explosion in the kinds and amount of useful and real-time or near real-time data that is available to anyone with a smartphone. Health metric or \"quantitative self\" tracking devices such as Fitbit, Jawbone Up, and the Pebble watch will fuel this data explosion as well.",[2061,2062],"big-data","iot","content:shuey:2012-05:iot.md",{"user":2035,"name":2036},{"_path":2066,"title":2067,"description":2068,"publishDate":2069,"tags":2070,"image":2072,"_id":2073,"author":2074},"/shuey/2012-05/rubymotion","RubyMotion Brings Ruby to iOS","RubyMotion is a new development toolchain that allows you to build iOS apps using Ruby created by Laurent Sansonetti, a former Apple engineer and contributor to the MacRuby project. It has garnered a lot of attention the past few weeks and some detailed reviews have already been written:","2012-05-14",[1199,2071],"ruby","/shuey/2012-05/img/logotype-icon.png","content:shuey:2012-05:rubymotion.md",{"user":2035,"name":2036},{"_path":2076,"title":2077,"description":2078,"publishDate":2079,"tags":2080,"image":2081,"_id":2082,"author":2083},"/shuey/2012-06/thoughts-ios6","A few thoughts on iOS 6","Apple made their session videos from WWDC 2012 available earlier this week in record time. It's nice to see since tickets for this years event sold out in under two hours. Apple has an iOS 6 Preview page touting some of the new features such as Siri's new abilities, tighter integration with Facebook, Photo Stream sharing, and things like iCloud tabs for Safari all of which look great.","2012-06-21",[1200,1199],"/shuey/2012-06/img/ios6.jpg","content:shuey:2012-06:thoughts-ios6.md",{"user":2035,"name":2036},{"_path":2085,"title":2086,"description":2087,"publishDate":2088,"tags":2089,"image":2091,"_id":2092,"author":2093},"/shuey/2012-07/mixer","A Simple Mixer Using AVFoundation","In iOS 4.0 Apple introduced the AV Foundation APIs that made working with audio and video media much easier than it had been in previous versions of iOS. Apple then brought these APIs to Mac OS X in OS X 10.7 \"Lion\". In this post I'll show how to use some of the APIs to create a simple four track mixer.","2012-07-02",[1200,2090,1199],"cocoa","/shuey/2012-07/img/mixer-screenshot.jpg","content:shuey:2012-07:mixer.md",{"user":2035,"name":2036},{"_path":2095,"title":2096,"description":2097,"publishDate":2098,"tags":2099,"image":2100,"_id":2101,"author":2102},"/shuey/2012-07/reset-button","The Reset Button","Horace Dediu of Asymco has been publishing some fantastic insights and analysis of the mobile market in the past few weeks. I linked to some of Dediu's analysis of the Economics of Android in an earlier post, and since then he's updated his work with the latest data and is studying RIM and Microsoft's efforts in the space as well.","2012-07-19",[2053,1200,1199],"/shuey/2012-07/img/kevin.jpg","content:shuey:2012-07:reset-button.md",{"user":2035,"name":2036},{"_path":2104,"title":2105,"description":2106,"publishDate":2107,"tags":2108,"image":2110,"_id":2111,"author":2112},"/tfarrel/2012-07","Looking at Steganography","With the help of one of my favorite news aggregators, I discovered this article on using JavaScript and the canvas element to hide information inside images. I've long been fascinated by steganography and this article and demonstration makes it even more accessible. If you can't be bothered to read the article, it describes a method of using the HTML5 File API and the canvas element to embed a message in images.","2012-07-24",[2109],"steganography","/tfarrel/2012-07/img/white.png","content:tfarrel:2012-07:index.md",{"user":2113,"name":2114},"tfarrel","Troy Farrel",1783408212207]