#Copilot Sdk

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.

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

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? 👇

It's true: The GitHub Copilot SDK can help you build the app of your dreams. In this case, the color palette organizer of Cassidy's dreams. 🎨 @acolombiadev

🚀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!

WATCH MY NEW VIDEO!! I create a remote agent using the new GitHub Copilot SDK, and this agent runs MCP servers on the computer, control Obsidian and run OS commands just by a simple prompt. Remotely!!! Now I'm working on deploy it using AWS AgentCore. It's gonna be so much fun! I can control my computer / write docs only by sending a simple http request to my agent!! No need in ClawdBot when you can use this SDK, and especially that I've open sourced this project on my repo: https://github.com/hoodini/copilot-sdk-terminal-agent ENOJY!!!

This GitHub update gives apps their own AI brain 💻 GitHub just released the Copilot SDK, letting developers embed AI directly into any app. Instead of waiting for clicks, apps can now anticipate needs — rebook trips, adjust plans, and handle busy work automatically. Software is shifting from reactive to proactive. Follow @poseidanai for daily AI & tech news, tools & prompts. Save this for later. #GitHub #CopilotSDK #AIAgents #ai #tech

We asked. You built. 🛠️ Check out the winning projects of our Copilot SDK challenge. 🏆

💪 Your spreadsheet has a new superpower. With the COPILOT function in Excel, you can analyze data and generate content using natural language—right in the grid. Explore the use cases at the link in bio.

There are dozens of agent frameworks today — from visual builders to fully code-driven SDKs. Trying to learn all of them at once is a mistake. The smarter move is to choose based on your goal and the complexity you actually need. 1️⃣ No-code / visual platforms (best entry point) Use these to understand agent workflows without heavy coding: ➤ n8n — visual workflows + integrations; agents can trigger real business processes via tools and nodes ➤ Microsoft Copilot Studio — low-code agent builder with drag-and-drop logic Great for learning concepts or automating business workflows without deep engineering. 2️⃣ Beginner-friendly low-code SDKs When you need custom logic and flexibility: ➤ LangChain / LlamaIndex — Python/JS SDKs for RAG, tool calling, and simple agents Ideal for chatbots, internal assistants, and retrieval-based systems with minimal orchestration overhead. 3️⃣ Multi-agent orchestration (mid complexity) When tasks require role separation or collaboration: ➤ CrewAI — role-based agents with simple coordination and clean configs Excellent for experimenting with multi-persona workflows before scaling complexity. 4️⃣ Code-first, complex workflows For long-running, branching, stateful, or highly reliable systems: ➤ Strands Agents (AWS) — model-driven SDK where LLMs plan and invoke tools ➤ LangGraph / AutoGen — explicit state machines, retries, and strong observability These shine when you need control, auditability, and production-grade reliability. 5️⃣ A practical learning path ➤ Start no-code → understand flows ➤ Move to low-code → build real apps ➤ Go full code → handle complexity and scale Bottom line: There’s no single “best” agent framework. Choose based on task complexity, coding comfort, and system requirements — and level up progressively, not all at once.

🎙️ ArchiCast: Ocak – Yıkıcı Teknolojilerde Bu Ay! Ocak bölümünde; Microsoft 365 Copilot’ta Agent Mode & Office Agent duyurularından, GitHub Copilot SDK ile agent geliştirme sürecine; Kimi K2.5’in Agent Swarm yaklaşımından CES 2026’da öne çıkan Physical AI ve robotik gündemine kadar uzanan başlıkları ele aldık. Bölümde ayrıca Boston Dynamics Atlas ile insansı robotların sahadan üretim planlarına uzanan yol haritasını konuştuk. 🎧 Architecht tarafında ise; - AI Agent Factory kapsamında farklı departmanlardan katılımcılarla agent tasarlama ve geliştirme çalışmalarını -GitHub Copilot & Microsoft 365 Copilot kullanımında öne çıkan ekip arkadaşlarımızı ödüllendirme sürecimizi - Remotion ile kod tabanlı video üretimi değerlendirmemizi - Davos 2026’da öne çıkan küresel başlıkların 2026 yol haritamıza yansımalarını paylaştık. Podcast’in tamamını biomuzdaki Podcast linkimizdeki Spotify veya YouTube kanallarımızdan dinleyebilirsiniz. #ArchiCast #Podcast #DisruptiveTech #Architecht #AI

2025 was a game-changing year. This Microsoft Copilot commercial is one of many projects I’m proud of from last year, and it’s been especially cool to share in the joy during the playoffs with family and friends reaching out and hitting me with the Leo DiCaprio pointing meme. lol I appreciate everyone for all the love. Excited to keep doing the work and sharing more moments like this. Big thanks to my agent @chasinagency , director @waltbecker3 and the whole crew on set.