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Engineering Practices & Quality Assurance

AI can write code faster than ever. Your job is to prove it works.

This category bridges the gap between rapid AI-generated code and production-ready software. It covers code review, testing strategies, team management, skill development, and real-world engineering workflows.

Articles in This Category

ArticleAuthorKey Question
AI Writes Code Faster—Your Job Is to Prove It WorksAddy OsmaniHow does AI change the role of code review?
Beyond the 70%: Maximizing the Human 30%Addy OsmaniWhat should humans focus on when AI handles 70% of coding?
Avoiding Skill Atrophy in the Age of AIAddy OsmaniHow do you maintain engineering skills while relying on AI?
How to Write a Good Spec for AI AgentsAddy OsmaniWhat makes specifications work well with AI agents?
Leading Effective Engineering Teams in the GenAI AgeAddy OsmaniHow should engineering leaders adapt to AI-assisted workflows?
Your AI Coding Agents Need a ManagerAddy OsmaniHow do you orchestrate multiple AI agents effectively?
AI Code Review ImplementationGreg FosterHow do you implement AI-powered code review in practice?
React Best PracticesVercel TeamWhat React patterns has Vercel refined over 10+ years?
Vercel AEO TrackingVercel TeamHow do you track and optimize AI agent behavior?
My LLM Coding Workflow Going Into 2026Addy OsmaniWhat does an effective AI-assisted workflow look like today?
Stop Using /init for AGENTS.mdAddy OsmaniWhat's wrong with auto-generated context files?
Video Generation with AI GatewayVercel TeamHow does AI Gateway enable video generation capabilities?

Reading Recommendations

  • Shipping AI code to production? Start with "AI Writes Code Faster" and "Code Review Implementation"
  • Managing a team? Read "Leading Effective Teams" and "Agents Need a Manager"
  • Worried about skills? Check "Avoiding Skill Atrophy" and "Beyond the 70%"
Alpha Preview:This is an early internal build. Some chapters are still incomplete and issues may exist. Feedback is very welcome on GitHub.