AI can write code quickly. That is no longer the interesting part. The interesting part is what happens after the code is generated. Because in real projects, the bottleneck is rarely “how do we get code faster?” It is usually: Is this correct? Does it match the architecture? Does it handle edge cases? Is it safe to merge? Can someone else maintain it next month? That is why I stopped treating AI output like finished code. Now I treat it like a draft that needs a reliable review system. This is the checklist I use before I merge any AI-generated TypeScript PR. Not a theoretical checklist. A practical one. 1. Can I explain the change in one sentence? Before I look at the code, I force myself to summarize the PR in one sentence.…