Week 3 is in the books, and one theme kept surfacing in everything I worked on: AI is a multiplier on the quality of your attention, not a replacement for it.
Let me get specific.
Mid-week, a teammate flagged a race condition in a payment processing module that had been in production for ~8 months. Three senior engineers had reviewed that code across two separate PRs. None of them caught it. Not because they weren't good — they were looking at 400-line diffs under deadline pressure.
I ran a focused AI audit session: pasted the relevant module (~120 lines), gave it the execution context (async queue, Postgres advisory locks, retry logic), and asked it to reason through every state transition where two concurrent workers could touch the same row. Four minutes later it had flagged the exact window — a gap between the lock acquisition check and the write — with a plain-English explanation of how it would manifest under load.
Total time from "let's look at this" to confirmed root cause: 22 minutes. Previous attempts had burned roughly 2.5 hours across two engineers without a resolution.
