Quality & Review

95% of developers spend extra time fixing AI code. Senior devs bear the heaviest burden—yet 59% say it's still worth it. Here's why the math works.

AI code review requires different skills. The checklist: security vulnerabilities, hallucinated packages, context drift, and edge cases AI always misses.

Never let an agent push code to production without a review. How to build a 'Critic' agent that reviews, lints, and rejects the work of the 'Builder' agent before a human ever sees it.

You can't measure agents by 'hours worked.' Learn the right KPIs for AI workers: success rates, latency, cost-per-task, and quality scores.

AI agents fail in weird ways. Learn debugging strategies, monitoring approaches, and observability patterns for understanding what your agents are actually doing.