AI Coding Best Practice

🧪 Active Investigation What is the best way for developers to stay relevant in the AI coding era?

CURRENT POSITION The best developers will use AI as an assistant while retaining strong fundamentals, ownership of architecture, and responsibility for code quality.

KEY ASSUMPTIONS AI-generated code often contains mistakes or lacks system-level context Strong fundamentals allow developers to effectively review and guide AI output AI will continue to accelerate coding speed but not replace engineering judgment

SUPPORTING EVIDENCE AI tools significantly speed up boilerplate, refactoring, and prototyping, but still require human review for correctness and security GitHub Copilot studies report productivity gains while emphasizing the need for human code review to ensure correctness and security. Stack Overflow Developer Survey shows developers using AI tools still rely heavily on fundamental programming knowledge for debugging and system design.

OPEN QUESTIONS How much system design capability AI tools will gain in the next few years Whether junior developers can build fundamentals effectively with heavy AI usage How effectively AI tools can model real-world user behavior and misuse patterns

WANT TO EXPLORE DEEPER? Read Full Thought → by Govind