AI code review can accelerate pull requests, but many teams discover that plausible suggestions do not always reduce production risk. This article explains why and how to use AI review without losing engineering judgment.
A practical guide to idempotency keys in APIs: prevent duplicate charges and side effects, design storage correctly, handle concurrency races, and ship safely in production.
API versioning is not just adding /v2 to a path. This practical guide shows how to evolve APIs safely with compatibility rules, deprecation workflows, and rollout checklists that protect clients.
Code review should improve quality and team learning. In many teams, hidden review habits create delays, shallow feedback, and avoidable rework. This guide breaks down common antipatterns and practical fixes.
Learn how rate limiting and backpressure prevent cascading failures in microservices, with practical patterns, code examples, metrics, and common mistakes to avoid.