A crash bug sat unfixed for two years until AI turned it into remote code execution. Your list of accepted risks was priced for attackers who no longer exist.
Postgres 19 slipped after AI found old bugs faster than maintainers could review the fixes. Plan your roadmap around verification capacity, not discovery.
Railway, OpenCode and Northflank each told customers to rotate their secrets within two weeks. The useful question is what a stolen key costs you before you notice.
AI is absorbing the routine incidents that used to train on-call engineers. A timed drill with the AI off shows whether your team can still handle the one that matters.
Merges grew tenfold in five months and source control became the bottleneck. The lesson for other companies is to find which of your tools still assume a person is the user.
A developer says a near-free model changed what he bothers to attempt. For leaders, the useful question is which work never got funded, and who checks the results.
Meta and Microsoft are reportedly cutting internal Claude use. The cut is a symptom: AI budgets run on usage counts until finance steps in, and a cap is a blunt tool.
Developers have always picked libraries by taste and familiarity. Now an agent makes those calls at machine speed, and most companies have never written down what it should prefer.
AI can now write a flawless-sounding incident report in seconds. That's not a safety win. It's the exact trap that keeps organizations from fixing what's actually broken.
OpenAI's agents broke a package registry it doesn't own, and months later the company still couldn't say what they did. That gap is the real risk in your agent rollout.
