The 5 Rules of Token Optimization Every Developer MUST Know ( for GitHub Copilot)

Your AI credits are burning faster than you think. In this video, I share my 5 Rules of Token Optimization that will improve your response quality, speed, and costs when using GitHub Copilot. Whether you're using Copilot Chat, Agent Mode, or the Copilot CLI — these rules will help you get better results while spending fewer credits. I'll demo each rule live in VS Code with real before/after examples. ⏱️ TIMESTAMPS 0:00 - Your AI credits are burning (Hook) 1:16 - The 5 Rules Overview 2:18 - Rule 1: Treat Context Like a Budget 9:05 - Rule 2: Load On-Demand, Not Always-On 15:15 - Rule 3: Right-Size Your Model 22:20 - Rule 4: Be Precise, Not Polite 31:08 - Rule 5: Clean Your Context 36:28 - Why This Matters at Team Scale 38:08 - Wrapup & Your Action Plan 🔗 LINKS GitHub Copilot Documentation: https://docs.github.com/copilot My Token Optimization Companion Repo: https://github.com/devopselvis/token-... 📌 KEY TAKEAWAYS • Code completions (ghost text) are ALWAYS free and unlimited • Lightweight models cost LESS per request than premium ones • Model mixing can potentially save 40%+ on credits (in my experience) • Instruction file compression = fewer tokens on EVERY request • Check GitHub docs for current pricing — it evolves! 💬 Let me know in the comments which rule made the biggest difference for you! #GitHub #GitHubCopilot #DevOps #AI #TokenOptimization #CopilotAgent #AIEngineering