#Github Copilot Cli Terminal Commands

Everybody's talking about GitHub Copilot, but almost nobody sets this up This one file makes it 10x more useful. You can even make Copilot write the file for you 🤯 Comment COPILOT and I'll send you my full Copilot guide — tips, tricks & shortcuts after 2 years of daily use 🔥 #GitHubCopilot #VSCode #WebDev #AITools #CopilotTips CodingTips AIForDevelopers

The GitHub Copilot SDK is here 🙌 You can take the same Copilot agentic core that powers GitHub Copilot CLI and embed it in any application, with just a few lines of code. Link in bio.

Most developers use GitHub Copilot wrong. It’s not just autocomplete. It’s a full AI coding assistant inside your IDE. Here’s how to actually use Copilot like a senior engineer 👇 💬 Comment “COPILOT” for the full power-user PDF. What GitHub Copilot Really Is Copilot is an AI pair programmer inside: • VS Code • JetBrains • Visual Studio • Neovim It understands: • your file • nearby code • function names • project structure Better context → better suggestions. Ghost Text (Inline Suggestions) This is the autocomplete most people know. It: • predicts entire functions • writes loops • generates APIs • creates tests But this is just the surface. Copilot Chat Window (Where the real power is) Copilot Chat isn’t just Q&A. It has 4 powerful modes: Ask Mode (Explain & Learn) Use it to: • explain legacy code • clarify error messages • compare approaches • understand unfamiliar frameworks Example: “Explain this middleware and its edge cases.” Great for learning + debugging. Edit Mode (Modify Code Instantly) Select code → tell Copilot what to change. Examples: • “Add proper error handling” • “Convert this to async” • “Optimize for readability” • “Add logging” It rewrites the code safely inside your file. This saves massive time during refactors. Plan Mode (Architect Before Writing Code) This is underrated 🔥 Instead of coding immediately, ask: “Plan a scalable API for 1M RPS.” “Design the DB schema for a booking system. It generates: • architecture steps • components • tradeoffs • implementation plan This is huge for: • system design • LLD • feature breakdown Agent Mode (Autonomous Changes) This is next-level. Agent mode can: • create new files • update multiple files • fix errors across project • implement features step-by-step It behaves like a junior developer executing tasks. You supervise. It executes. Best Way to Use Copilot: ❌ Don’t accept blindly ❌ Don’t use it for critical security logic without review ✅ Guide it with clear comments ✅ Use it for boilerplate ✅ Use chat modes for refactoring + planning ✅ Review everything Treat it like: a very fast junior developer who needs supervision. #softwareengineer #ai #copilot #fyp

You can now integrate GitHub Copilot directly into your own programming projects! 🤖 The Copilot SDK allows you to quickly interact with the GitHub Copilot CLI installed on any device. Making it much easier to build dev tools, internal tools, and other fun projects for GitHub Copilot users! 💻 I’m using it to build a new version of my Quotation Agent, allowing me to instantly price up my projects for clients from the command line! 💰 @github

Introducing the GitHub Copilot SDK, now in technical preview 🎉 We’re opening up new ways to automate your workflows. Check out the SDK and the latest Copilot CLI features (including built-in custom agents and Homebrew/WinGet installation options). ▶️

To the guys n gals out there who were recommending it to me

❌ “𝗜𝘀 𝗽𝗿𝗼𝗱 𝗱𝗼𝘄𝗻?” ❌ “𝗪𝗵𝘆 𝗶𝘀 𝘁𝗵𝗶𝘀 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗲𝗻𝗱𝗽𝗼𝗶𝗻𝘁 𝘀𝗹𝗼𝘄?” ❌ “𝗪𝗵𝗼 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗹𝗶𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗯𝘂𝘁𝘁𝗼𝗻?” And how many times does answering them involve: 🔴 Leaving your IDE. 🔴 Logging into a dashboard. 🔴 Fighting with query filters. 🔴 Forgetting what code you were writing in the first place. I decided to try something wild. I connected GitHub Copilot directly to my production telemetry using the new  @Honeycomb.io Model Context Protocol (MCP). I asked Copilot: “How many people visited the site in the last 20 mins?” It didn’t write code or looked at a dashboard, it queried the database and gave me the answer, inside VS Code. It’s a shift in how we do Observability. Access free here: https://fandf.co/3N1JIrz #DevOps #SoftwareEngineering #OpenTelemetry #Honeycomb #AI MCP

Stop using GitHub Copilot for complex refactoring. 🛑 If you are manually chasing down TypeScript errors across your codebase because you updated one interface, you are doing it the slow way. Copilot is great for writing a single function. Cursor is built for architecting entire software systems. Here is exactly why you need to know the difference. Which tool is currently running in your IDE? Let's discuss below! 👇 #Coding #Programming #CursorAI #GitHubCopilot #TypeScript #TechDebate

Next level debugging with GitHub Copilot 🚀 See how Copilot explains variable values to help you understand your code faster. Watch the full video: https://youtu.be/iFjQghRbJUw

Make your coding agent autonomously debug! Connect MCP Server in app settings to let Cloud Code Cursor explore app data and work with your local code. Production review, done. Full video https://www.youtube.com/watch?v=Z_BNykUXGb8 #coding #debugging #ai #developer #softwaredevelopment #automation #tech #opensource

Let’s see how good claw bot really is

A quick VS Code update ⚡ Claude Opus 4.6 is now available and rolling out in GitHub Copilot. Early signs show it handles agent-style coding and complex, multi-step tasks much better :) Hope this helps ✅️ Drop a Like if you found this post helpful! ❤️ Follow @rammcodes_ for more 💎 #html #ai #javascript #coding #webdevelopment programming