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Why AI code review can produce useful comments while still missing authorization, data-contract, rollout, and system-level risks, with a practical workflow for keeping humans responsible for judgment.
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How to design API idempotency keys for retries, duplicate POST requests, payload mismatch, TTL, in-progress requests, and safe response replay.- Published on
How to version APIs without breaking existing clients, including compatibility policy, breaking-change examples, staged v1 to v2 rollout, deprecation headers, telemetry, and release gates.- Published on
Code review antipatterns that slow teams down, with concrete pull request examples, review-risk signals, comment patterns, and a practical checklist for faster, higher-signal reviews.- Published on
How to use rate limiting, backpressure, and load shedding to keep microservices inside safe capacity, with failure timelines, TypeScript admission controls, queue policies, rollout steps, and production metrics.