Building an AI SDLC on Thin Ice: What Worked and What Backfired

Writing code was never the hard part of software engineering. That was true before LLMs and it’s still true now. The hard parts were always understanding the problem, choosing an approach you won’t regret in six months, and keeping a system comprehensible to the people who have to maintain it. Code was the mechanical part. […]

Your AI Patches Still Break Production? The Fix Isn’t a Better Model, It’s a Better Workflow.

In our previous post, we showed how general-purpose AI coding assistants produce vulnerability patches that compile, pass tests, and still break production. The data was clear: a persistent ~20% defect rate across compatibility, correctness, and precision – not because the models can’t code, but because they skip the critical step of understanding the APIs deltas. […]