GitHub's Knowledge Bases feature is officially gone. If you were using it for collaborative context in GitHub Copilot, you've probably noticed. The replacement? Copilot Spaces. Same concept: give your AI assistant curated RAG context so it actually knows your codebase, your docs, your project specifics. But getting Spaces to show up in VS Code took me weeks of banging my head against the wall. Here's what finally worked: → Use HTTP transport, not stdio with Docker → The magic header: X-MCP-Toolsets: default,copilot_spaces → Endpoint is api.githubcopilot.com/mcp → Store your PAT securely via VS Code's MCP client inputs mechanism The reality check: right now there are only two tools in the Spaces toolset. list_copilot_spaces and get_copilot_space. You can enumerate and access your spaces, but deep RAG retrieval in the IDE isn't fully there yet. The web UI works great. The IDE integration is catching up. I recorded a walkthrough of the entire setup so you can shortcut the frustration I went through. Link in comments. What I want you to take away: keep your eyes on the GitHub MCP server repo. This is moving fast, and the toolset is expanding. Get the foundation set up now so you're ready when the full functionality lands. Watch: https://lnkd.in/gV7dqRjN #GitHubCopilot #MCP #DeveloperProductivity #AITools #GitHubEnterprise #DevOps
GitHub Copilot Spaces Setup for VS Code
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[New Blog Post] Running GitHub Copilot SDK Inside GitHub Actions If you’ve been using GitHub Copilot, you already know how powerful it can be. Lets look at running the GitHub Copilot SDK inside GitHub Actions. Dropping it into a GitHub Actions workflow means it can work right inside your CI/CD pipeline. I will show how-to with a working example: a Pull Request Review Assistant that runs in GitHub Actions, uses the Copilot SDK, and applies a predefined skill so its output is consistent. In this post, I walk through: - How to run the GitHub Copilot SDK inside GitHub Actions - How to wire it into your workflow - A working example: a Pull Request Review Assistant running in Actions 🔗 Read it here: https://lnkd.in/exu57Gb8 #GitHub #GitHubCopilot #DevEx #PlatformEngineering #AIinDevOps #GitHubActions #Automation
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The Terminal Showdown: GitHub Copilot vs. Anthropic Claude 🥊💻 The command line is the new battleground for AI. With the release of the GitHub Copilot CLI, the inevitable question arises: How does it stack up against using Claude in the terminal? Having significant hands-on experience with both ecosystems in my daily workflow, I’ve realized it’s not just a battle of intelligence—it’s a clash of Functionality and Economics. Here is my breakdown: 🔍 1. The Capability Focus • GitHub Copilot CLI: It acts as a Specialized Specialist. It is hyper-tuned for shell commands, Git workflows, and explaining syntax. It lives in the shell context. It's designed for speed and execution. • Claude (via CLI/API): It functions as a Reasoning Engine. It excels at analyzing large local files, architectural reasoning, and complex coding tasks that happen to be triggered from the terminal. 💸 2. The Subscription Strategy (The Real Differentiator) This is where the decision-making shifts: • Copilot (The "Peace of Mind" Model): Included in your subscription. No "token anxiety." You can spam copilot explain all day without worrying about the bill. It invites frequent, low-friction usage. • Anthropic Claude (The "Consumption" Model): Depending on your integration, this is often pay-as-you-go. You pay for high-performance reasoning. Great for heavy lifting, but you might hesitate for simple one-liners. 💡 My Verdict based on field testing: While Claude remains my go-to "Architect" for deep reasoning and complex refactoring, the Copilot CLI has become indispensable for the daily grind. It removes the friction from Git operations and shell scripting without the mental overhead of API costs. Which model fits your workflow better: Fixed Subscription or Pay-As-You-Go flexibility? 👇 #AI #GitHubCopilot #AnthropicClaude #DevOps #PricingStrategy #SoftwareEngineering #GenerativeAI #TechComparison #DeveloperExperience #SaaS #TechTrends #Coding #Productivity
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This week, we shipped the GitHub Copilot SDK, which simplifies the process of embedding the agent loop from the Copilot CLI into other applications. Over the past few months, we have been using, improving, and extending Copilot CLI, leading to new insights about the importance of having the right context in our work environments. As developers, our primary focus is often on the terminal and our IDEs. On most days, writing code isn't the challenging part. The real difficulty lies in the surrounding tasks: understanding why something was built in a particular way, tracking down the specifications that defined a requirement, recalling which meeting introduced a change, or identifying the right person to consult when questions arise. https://lnkd.in/dTD7CxQw #GitHubCopilot #MicrosoftAI #AIForDevelopers #DeveloperProductivity #SoftwareEngineering #AIAtWork #M365Copilot #IntelligentApps #FutureOfWork #CodingWithAI #DevTools #MicrosoftDeveloper #ContextAwareAI
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GitHub is letting developers choose between Copilot and its biggest rivals GitHub subscribers now have a choice of coding agents to help them create. In addition to GitHub’s own Copilot, users can choose from Anthropic’s Claude Code, OpenAI’s Codex, and custom agents on GitHub and in VS Code, through a new feature GitHub calls Agent HQ. AgentHQ is currently available to Copilot Pro+ and Enterprise subscribers, but the company plans to bring access to Claude and Codex to other Copilot subscription tiers soon....
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GitHub is letting developers choose between Copilot and its biggest rivals Pro+ and Enterprise subscribers can now assign tasks to Claude, Codex, or Copilot from one dashboard and let them work asynchronously. GitHub subscribers now have a choice of coding agents to help them create. In addition to GitHub’s own Copilot, users can choose from Anthropic’s Claude Code, OpenAI’s Codex, and custom agents on GitHub and in VS Code, through a new feature GitHub calls Agent HQ. AgentHQ is currently available to Copilot Pro+ and Enterprise subscribers, but the company plans to bring access to Claude and Codex to other Copilot subscription tiers soon. The company first announced this new capability at its GitHub Universe event in October 2025, with plans to launch it later that year (though that timeline clearly shifted a bit). https://lnkd.in/eS6MPMeJ Please follow Divye Dwivedi for such content. #DevSecOps,#SecureDevOps,#CyberSecurity,#SecurityAutomation,#CloudSecurity,#InfrastructureSecurity,#DevOpsSecurity,#ContinuousSecurity, #SecurityByDesign, #SecurityAsCode, #ApplicationSecurity,#ComplianceAutomation,#CloudSecurityPosture, #SecuringTheCloud,#AI4Security #DevOpsSecurity #IntelligentSecurity #AppSecurityTesting #CloudSecuritySolutions #ResilientAI #AdaptiveSecurity #SecurityFirst #AIDrivenSecurity #FullStackSecurity #ModernAppSecurity #SecurityInTheCloud #EmbeddedSecurity #SmartCyberDefense #ProactiveSecurity
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GitHub Copilot Makes Developers 55% Faster GitHub Copilot transformed the developer experience by acting as an AI pair programmer. Developers using Copilot complete tasks 55% faster than those without it—a difference researchers verified in controlled experiments. Even more importantly, 87% of developers report that Copilot reduces mental fatigue on repetitive tasks, 73% stay in flow longer, and 60-75% feel less frustrated with coding. The tool preserves mental energy for complex problem-solving instead of boilerplate code. For enterprises, this means developers shipped more features, experience higher job satisfaction, and turnover decreases. Microsoft's research shows it takes 11 weeks for teams to fully realize benefits, but the ROI compounds over time.
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GitHub CoPilot SDK Update: Reduced handoffs & shrinkage, faster delivery, higher engineering throughput, improved quality & risk, cost efficiency, adoption @ scale. Building agentic workflows from scratch presents numerous challenges: -Context management across conversation turns -Orchestrating tools and commands -Routing between models -Handling permissions, safety boundaries, and failure modes On January 22, 2026, GitHub officially launched the GitHub Copilot SDK technical preview, to address these core challenges: The SDK provides these core capabilities: -Production-grade execution loop: The same battle-tested agentic engine powering GitHub Copilot CLI -Multi-language support: Node.js, Python, Go, and .NET -Multi-model routing: Flexible model selection for different tasks -MCP server integration: Native Model Context Protocol support -Real-time streaming: Support for streaming responses and live interactions -Tool orchestration: Automated tool invocation and command execution The GitHub Copilot SDK turns Copilot from a great assistant into a programmable enterprise platform for shipping your own AI agents in the developer workflow. To learn more, visit: ______ #GitHubCopilot, #CopilotSDK, #AgenticAI, #DeveloperExperience, #AIAssistants, #DevOpsInnovation, #Carvana #DriveTime #ADESA #Tekion #Bridgecrest #SilverRock #SoftwareEngineering, #AIProductivity, #MicrosoftCloud, #AzureDevelopers, #EngineeringExcellence, #BuildWithCopilot, #AITransformation, #FutureOfCoding
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Today we are launching the GitHub Copilot SDK in technical preview. Agents are primed to become the primitive that developers embed anywhere their software runs. The SDK exposes GitHub Copilot as a programmable agent layer you can wire directly into your own applications. Planning steps. Invoking tools. Editing files. Running commands. All under your control, inside your product. This matters because the next wave of AI isn’t about better prompts. It’s about integration with real systems and real workflows. Agents that can reason across context, take action, and adapt without forcing developers to leave the app they’re already in. With the Copilot SDK, developers can move from AI-assisted to AI-native experiences. The result is software that feels less like a collection of features and more like a collaborator built into the stack itself. You define the tools and boundaries. Then Copilot handles the reasoning and orchestration.
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🚀 GitHub just dropped something massive for developers The GitHub Copilot SDK is now in technical preview—and it's about to change how we build agentic workflows. Here are the 3 game-changing takeaways: 1. Skip the Infrastructure Hell Building agentic workflows from scratch means managing context, orchestrating tools, routing models, and thinking through permissions before you even touch product logic. The Copilot SDK gives you a production-tested execution loop out of the box—no more building platforms when you should be building products. 2. Drop It Anywhere Node.js, Python, Go, .NET—pick your poison. The SDK embeds the same agentic core that powers GitHub Copilot CLI into any application. That means you can build custom GUIs, personal productivity tools, or enterprise-grade agents without reinventing the wheel. 3. Real Teams, Real Use Cases Already GitHub's internal teams are already shipping with it: YouTube chapter generators, speech-to-command workflows, desktop automation, AI-powered games, and summarization tools. The SDK handles authentication, model management, MCP servers, and streaming while you focus on what matters—your unique value. Bottom line: This isn't just another API. It's a programmable layer that lets you build sophisticated AI agents without the typical infrastructure nightmare. Ready to build? 👇 https://lnkd.in/eR7Sfnvz #AI #DeveloperTools #GitHubCopilot #AgenticAI #Innovation
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GitHub is letting developers choose between Copilot and its biggest rivals. Pro+ and Enterprise subscribers can now assign tasks to Claude, Codex, or Copilot from one dashboard and let them work asynchronously.
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