Quick summary Review becomes a system: Anthropic spreads checks across local verification, automated review, CI, risk-based approval, and rollback. People still decide: Human attention goes to product direction, architecture, sensitive changes, and whether the evidence is convincing. The results are promising, not proof: Anthropic reports more than twice as many merged Claude Code pull requests […]
An AI coding workflow needs more than code and green tests. Here is how clear completion criteria, feedback loops, human review, and deployment tracking help teams decide what is ready to ship.
Quick summary Reproduce the symptom: Start with a clear difference between expected and actual behaviour. Isolate the cause: Reduce the case and use logs, metrics and traces to find where behaviour changes. Test one hypothesis: Make a focused change that can confirm or reject a specific explanation. Verify the fix: Check the outcome and add […]