73A customer wants AI coding agents working in their codebase. How do you assess whether it is ready, and what do you fix first?▼hardNewPalantirCognitionCursor2 replies◆ premiumThe instinct is to grade the codebase. Grade the feedback loop instead: a repo with no docs and a 90-second test command is friendlier to an agent than a beautifully documented one whose suite takes 40 minutes and flakes 8% of the time, and the arithmetic on that second number is worse than it looks.Open full answer →
74A customer wants AI code review on every PR. What does it catch, what does it miss, and how do you stop the team turning it off?▼hardNewGreptileCursorCognition2 replies◆ premiumNobody turns off an AI reviewer because it missed a bug. They turn it off because it left nine comments they had to read and three that mattered. Precision is the design variable, and the arithmetic says cutting comments per PR from twelve to four costs you 7% of the real findings and two thirds of the triage time.Open full answer →
