GitHub Copilot SDK: Access Production-Tested Execution Loop

GitHub Copilot is no longer just for your IDE. It’s now for your internal tools.🚀 GitHub has just released the Copilot SDK (Technical Preview), and for those of us building automation scripts or internal developer platforms, this is a massive shift. We can now programmatically integrate the Copilot Agent directly into our own applications using Python, Node.js, Go, or .NET. It’s not just about autocompleting code anymore; it’s about giving your terminal scripts and internal CLI tools the ability to understand context and execute agentic workflows. If you are looking to build AI-driven automation for your team, the toolkit is finally here. Check out the repo: https://lnkd.in/guXn-yMf #GitHubCopilot #DevOps #Automation #Python #Engineering #AI

🔴 Yesterday, I did a live stream exploring the GitHub Copilot CLI and SDK for Python! Found lots of features, and some good feedback for the team. GitHub Copilot CLI: 🔍 /review sends your code to multiple models in parallel - got simultaneous feedback from Opus and Gemini on my PR (GPT-5.2 was too slow) 🤖 /agent can load custom agents from .github/agents/ but there's some difference in how tool allow-listing works from VS Code GitHub Copilot SDK (Python): 📊 We ran a PR visualization script that charts open PR ages across a repo (got publicly shamed for my 317-day average PR age 😅) 🔧 We connected the Microsoft Learn MCP server to fact-check documentation against official docs 📝 We created an issue triager custom agent that searches for stale issues, researches whether they're still relevant, and posts closing comments 🔄 The SDK streams events as the agent works, so that we could see tool calls, web fetches, and reasoning in real time The SDK is essentially an agent framework with GitHub Copilot models built in. No deployment, no API keys to manage - just pip install and write Python scripts that automate your dev workflows. I think this is a promising tool for developers to start automating tasks more easily in repos, just check in a script that uses the GitHub Copilot SDK. Watch the stream here: https://lnkd.in/g4AJzT-h

GitHub has launched a technical preview of the GitHub Copilot SDK, a tool kit for embedding the “agentic core” of the GitHub Copilot CLI into applications. https://lnkd.in/ekbNXiy5

𝗕𝘂𝗶𝗹𝗱 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝗶𝗻𝘁𝗼 𝗮𝗻𝘆 𝗮𝗽𝗽 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗦𝗗𝗞 Building agentic workflows from scratch is hard. You have to manage context, orchestrate tools and commands, route between models, integrate MCP servers - the list goes on. You’ve already built a small platform before you even get to the fun stuff. GitHub Copilot SDK removes that burden. It allows you to take the same agentic core that powers GitHub Copilot CLI and embed it in any application. The GitHub Copilot SDK, starting with 𝗡𝗼𝗱𝗲.𝗷𝘀/𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗚𝗼, 𝗮𝗻𝗱 .𝗡𝗘𝗧, gives you programmatic access to the Copilot CLI. Via the SDK, similar to the API, you can use your favorite programming language to: 𝗥𝘂𝗻 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗺𝘂𝗹𝘁𝗶-𝘀𝘁𝗲𝗽 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 (not just one-off prompts) 𝗠𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗲𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 so you can use the right model for each step 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝘁𝗼𝗼𝗹 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 via MCP servers 𝗘𝗿𝗿𝗼𝗿 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝘆 𝗮𝗻𝗱 𝗺𝗲𝗺𝗼𝗿𝘆 that persists across sessions 𝗖𝘂𝘀𝘁𝗼𝗺 𝗮𝗴𝗲𝗻𝘁𝘀 you build yourself or get from the community Head over to the https://lnkd.in/gUmrxSfN  repository!

Have you seen the new GitHub Copilot SDK? It blew my mind with how easy it makes adding agentic workflows to your own apps. If you have ever struggled with getting large language models to actually take steps, call tools, manage memory, or orchestrate actions across different turns, you know how much tedious boilerplate that can involve. This SDK just lifts that weight off your shoulders. You get the same brains behind Copilot CLI, but you can bring it right into your projects using Node, Python, Go, or .NET. I experimented it with wire up a quick prototype where the agent planned tasks, kept track of context, and even ran custom tools - all with a lot less hassle than I expected. You don’t have to invent your own planner or tool loop, it is all there out of the box. This has me thinking about how many more ambitious ideas are suddenly within reach: custom desktop automations, smarter personal dashboards, agents that can actually handle complex workflows. If you are even a little bit curious about agentic apps or LLM-powered workflows, it might be time to take this for a spin. Check out the full blog post here: https://msft.it/6046QHByY I would love to know what you would build with it, or if you have already given it a try, what your first impressions are.

GitHub just launched the Copilot SDK and announced a coding challenge on Reddit over the last weekend. Since I'm heavily testing the capabilities of AI at the moment I participated. My entry features a calorie tracker written in Flutter with a NodeJS backend running the SDK. A simple description of your nutritional choices and Copilot will break down the meals components , calories, macros and some other nutrients. Watch the video for a quick demo. Over the years after it came out first I have seen GitHub Copilot evolve into a tool that can accelerate your development tremendously. With all the models to choose from there are practically endless possibilities to make use of it other than for software engineering related tasks. Missed the challenge? There seems to be another one: https://lnkd.in/d4cimUdV What would you build?

Have you seen the new GitHub Copilot SDK? My teammate was showing me and she blew my mind with how easy it makes adding agentic workflows to your own apps. If you have ever struggled with getting large language models to actually take steps, call tools, manage memory, or orchestrate actions across different turns, you know how much tedious boilerplate that can involve. This SDK just lifts that weight off your shoulders. You get the same brains behind Copilot CLI, but you can bring it right into your projects using Node, Python, Go, or .NET. I watched her wire up a quick prototype where the agent planned tasks, kept track of context, and even ran custom tools - all with a lot less hassle than I expected. You don’t have to invent your own planner or tool loop, it is all there out of the box. This has me thinking about how many more ambitious ideas are suddenly within reach: custom desktop automations, smarter personal dashboards, agents that can actually handle complex workflows. If you are even a little bit curious about agentic apps or LLM-powered workflows, it might be time to take this for a spin. Check out the full blog post here: https://msft.it/6042QE8cA I would love to know what you would build with it, or if you have already given it a try, what your first impressions are.

Have you seen the new GitHub Copilot SDK? My teammate was showing me and she blew my mind with how easy it makes adding agentic workflows to your own apps. If you have ever struggled with getting large language models to actually take steps, call tools, manage memory, or orchestrate actions across different turns, you know how much tedious boilerplate that can involve. This SDK just lifts that weight off your shoulders. You get the same brains behind Copilot CLI, but you can bring it right into your projects using Node, Python, Go, or .NET. I watched her wire up a quick prototype where the agent planned tasks, kept track of context, and even ran custom tools - all with a lot less hassle than I expected. You don’t have to invent your own planner or tool loop, it is all there out of the box. This has me thinking about how many more ambitious ideas are suddenly within reach: custom desktop automations, smarter personal dashboards, agents that can actually handle complex workflows. If you are even a little bit curious about agentic apps or LLM-powered workflows, it might be time to take this for a spin. Check out the full blog post here: https://msft.it/6049QEBF9 I would love to know what you would build with it, or if you have already given it a try, what your first impressions are.

Have you seen the new GitHub Copilot SDK? My teammate was showing me and she blew my mind with how easy it makes adding agentic workflows to your own apps. If you have ever struggled with getting large language models to actually take steps, call tools, manage memory, or orchestrate actions across different turns, you know how much tedious boilerplate that can involve. This SDK just lifts that weight off your shoulders. You get the same brains behind Copilot CLI, but you can bring it right into your projects using Node, Python, Go, or .NET. I watched her wire up a quick prototype where the agent planned tasks, kept track of context, and even ran custom tools - all with a lot less hassle than I expected. You don’t have to invent your own planner or tool loop, it is all there out of the box. This has me thinking about how many more ambitious ideas are suddenly within reach: custom desktop automations, smarter personal dashboards, agents that can actually handle complex workflows. If you are even a little bit curious about agentic apps or LLM-powered workflows, it might be time to take this for a spin. Check out the full blog post here: https://msft.it/6045QHKwF I would love to know what you would build with it, or if you have already given it a try, what your first impressions are.