Developer Tools

This is Part 4 of “The Centaur’s Toolkit” series, where we explore practical strategies for human-AI collaboration in technical work. Code review is one of those practices everyone agrees is important and almost nobody enjoys. You’re deep in your own work when a PR notification arrives. You context-switch, try to understand someone else’s mental model, and attempt to provide useful feedback before the next interruption hits. It’s mentally draining. And honestly, most reviews end up being superficial because thorough review takes time nobody has. ...

This is Part 1 of “The Centaur’s Toolkit” series, where we explore practical strategies for human-AI collaboration in technical work. You’ve been using GitHub Copilot for six months. Or maybe it’s Claude, ChatGPT, or Cursor. The tab key has become your best friend. Boilerplate code that used to take twenty minutes now takes two. You feel faster. More productive. Like a coding superhero. But lately, something feels off. You catch yourself accepting suggestions without really reading them. You accept a function completion and realize you’re not entirely sure what it does. Yesterday, you spent an hour debugging code that the AI wrote, code you wouldn’t have written that way yourself. ...

Mastering GitHub Copilot: AI Pair Programming for Developers Note: This guide is based on GitHub Copilot documentation (as of January 2025), OpenAI Codex model capabilities, and documented best practices from GitHub’s official usage guidelines. All code examples demonstrate real Copilot prompt engineering techniques and follow community-tested patterns. GitHub Copilot represents a paradigm shift in how developers write code—moving from Google-driven “search and adapt” workflows to AI-assisted “prompt and refine” patterns. Trained on billions of lines of public code, Copilot acts as an AI pair programmer, suggesting entire functions, test cases, documentation, and algorithms from natural language comments. ...