#Github Copilot Custom Agents

🚀GitHub just launched the GitHub Copilot SDK so let’s try it out! It immediately made me think about a question I get all the time: What’s the best way to get started contributing to open source? …Because that question isn’t really about writing code. It’s about reasoning over GitHub data: Is this repo active? Do maintainers actually respond? Are these beginner issues really good starting points? What does a normal first PR look like here? …that’s why so excited to try GitHub Copilot SDK for this use case! 💡The GitHub Copilot SDK lets you embed the same agent runtime behind Copilot CLI directly into your own applications…. so instead of hard-coding a step-by-step workflow, you can build custom agents that plan, call tools, and make decisions based on real context. I built a small MVP using the Copilot SDK to show how an agent can reason over those signals and help people find good repos and beginner issues. I’m adding a few more features and will deploy it so it can be used (& also feel free to contribute 😊) This is just one example of how the GitHub Copilot SDK can be used to build agent-driven workflows in real products 🛠️ 🔗Try out the GitHub Copilot SDK & build your own custom agents via the link in bio!

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.

GitHub Copilot SDK was just announced, and it’s genuinely good news for developers. In 2026, AI agents are moving away from “cool toys” to “invisible workers.” Building an agent that actually works is still hard. You still need to solve memory, planning, and security. I tried out the GitHub Copilot SDK (currently in technical preview), and I was genuinely impressed by how much of the boring groundwork is already handled. You don’t start from zero. You can focus on what the agent should do instead of wiring everything together. It’s not just an API wrapper. It’s a programmable layer that lets you embed the same kind of agentic core that powers Copilot CLI directly into your own tools. GitHub is launching with support for Node, Python, Go, and .NET. 👉 The repo is live at github.com/github/copilot-sdk. It includes cookbooks and examples to get you started. The bigger shift here isn’t the SDK itself, it’s the direction. We’re moving away from step-by-step instructions and toward delegation. You give software a goal, and it figures out the path. What’s the one boring part of your workflow you’d delegate to an agent tomorrow if you didn’t have to build the infrastructure yourself? 👇

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

Custom Copilot Agents = Hours Saved ⏳👨‍💻 Stop digging through outdated internal wikis. With GitHub Copilot Custom Agent Mode, you can build an agent that knows your exact company standards. Tag it, prompt it, and watch the magic happen. Would you like me to suggest more Copilot use cases for your specific stack? #GitHubCopilot #DevLife #Coding #TechHacks #SoftwareEngineering

🔥 “GitHub Copilot sucks.” That’s how ThePrimeagen starts — and honestly, he’s not wrong. For years, Copilot felt slow, mid, and constantly wrong, predicting two useless lines at a time. It didn’t feel good, didn’t help much, and definitely didn’t make developers happy. But here’s the twist 👇 The Primeagen says he’s now fully converted… Not because Copilot got better — but because Cursor’s autocomplete is on a different level. He argues the best AI coding tool isn’t the “ask me a question” assistant. It’s a super-fast, super-smart autocomplete that writes code with you, not for you. Cursor’s Copilot-tab experience is so smooth that it changes your whole workflow… But beware: If you offload too much, your skills will atrophy fast. AI makes coding faster — but it can also make you weaker if you stop thinking. The future of coding? AI-first workflows + devs who still know how to think. --- Do you agree with ThePrimeagen — is autocomplete the REAL future of AI coding? Please comment 'YES' or 'NO', and indicate which AI tool you’re currently using. 👇 --- FOLLOW @activeprogrammer to learn something new every day! #aiincode #programmerlife #softwareengineering #cursorai #theprimeagen 🎥🗣: @theprimeagen

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

Copilot CLI broke all of my code! But that's okay, because in this case, it allowed me to explore things I otherwise might have built... and I could Copilot to fix the situation it got me into by working alongside it! Watch here: https://www.youtube.com/watch?v=UU132ACeKCw

GitHub Copilot: your AI pair programmer. Code faster, complete tasks faster. June 2022 changed the game for developers. #GitHubCopilot #AIProgramming #VSCode #PyCharm #DeveloperTools #CodingLife #TechInnovation

Copilot’s Shocking Rise: Code Review 🤯🔥 ¡Guau, Copilot está tomando el control de GitHub! 🤯 ¡Mira cómo esta herramienta de IA está revisando 1 de cada 5 revisiones de código y acelerando los despliegues! 🚀 Descubre el secreto detrás de su crecimiento explosivo… ¡es alucinante! 🔗 📰 Full story+ 🎧 multilingual audio summaries: https://www.abr-insights.tech/articles/2026-03-06_13-52-50_copilot-s-shocking-rise-code-review.html TECH Podcast 🎧👉 🔗: https://www.youtube.com/playlist?list=PLl7788JGsQeAO76CjZ6IR-XRov3vsvnYQ #ABRINSIGHTS #Copilot #CodeReview #GitHub #AI #DevTools #SoftwareDevelopment #WEX

🙌 You can now use @claudeai and @OpenAI’s Codex in GitHub and Visual Studio Code with your GitHub Copilot Pro+ or Copilot Enterprise subscription. Define your intent, pick an agent, and they’ll get to work clearing backlogs and bottlenecks, all within your existing workflow. Link in bio.

Copilot’s Schockaufstieg: Code Review 🤯🔥 Copilot macht sich bei GitHub breit! 🤯 Schon 1 von 5 Code Reviews werden jetzt von diesem KI-Tool überprüft und die Deployments werden dadurch beschleunigt. 🚀 Und wisst ihr, was der absolute Knall ist? Es ist unglaublich! 🔗 📰 Full story+ 🎧 multilingual audio summaries: https://www.abr-insights.tech/articles/2026-03-06_13-52-50_copilot-s-shocking-rise-code-review.html TECH Podcast 🎧👉 🔗: https://www.youtube.com/playlist?list=PLC75r3JBlVQ1IWvbrFWkodsuc3m20VSyj #ABRINSIGHTS #Copilot #CodeReview #GitHub #AI #DevTools #SoftwareDevelopment #WEX