Google Cloud Tech's review of AI coding agents shows how tools generate functional but brittle code—overly complex abstractions, ignored edge cases, and dependency bloat that inflate long-term maintenance. Velocity gains evaporate without targeted review frameworks that quantify debt versus output. Treating AI as a junior dev rather than an oracle protects ROI. What metrics do you track to decide when AI code needs rewriting versus merging? Full video link https://youtu.be/ABC7ifp8-Uo