Hot take on AI coding agents: Even top-tier models like Astra and Fable can't autonomously converge to stable solutions when running at full capacity. Skipping code reviews = losing context = can't guide the AI toward convergence = unmaintainable codebase.

Better workflow: Break tasks into atomic chunks, control diff size per commit, reduce review cognitive load. Small changes + frequent commits = you stay in the loop and can actually steer the AI when it drifts. No review strategy works long-term for serious projects.