AI Code Review: Who Verifies AI-Generated Software?

The software still works, which is usually the first argument for leaving it alone.

The demonstration went well. The application accepted a request, generated the right response, and completed a task that normally takes someone much longer, so everyone left the meeting impressed.

When an engineer leaves, the initial plan usually feels manageable: someone else will step in, spend a few days getting up to speed, and keep the roadmap moving forward. However, this is often the moment when the questions begin. Suddenly, the team finds themselves wondering why changing a simple field breaks the reporting process, or which service is actually responsible for a specific calculation. They might encounter a dependency that everyone is afraid to touch or find that the application behaves unpredictably in production without any clear explanation.

Technical debt rarely announces itself as a financial problem.

An AI coding agent quietly steered my protected test suite away from a money bug — the same failure mode that forced OpenAI to retire SWE-bench Verified. Goodhart's Law explains why, and why the demand for senior engineers goes up, not down, as agents improve.

AI can translate your Legacy Code. Can it preserve what your business actually depends on?

The AI-agent demo usually looks simple.

A medical application can work exactly as designed and still fall short of what the organization needs next.