GitHub Copilot makes you a faster engineer. Devin tries to be one. That's the sharpest way to describe the difference. Copilot lives in your IDE and suggests the next line. Devin gets a task, opens a shell, writes code, runs tests, reads errors, searches docs, and opens a pull request -- without you touching a keyboard in between. Cognition Labs launched Devin in March 2024 with a demo that went viral. A team of 10 people, 10 IOI gold medals between them, building what they called the "first AI software engineer." The benchmark number that circulated: Devin resolved 13.86% of real GitHub issues on SWE-Bench unassisted. The previous best was 1.96%. That's not a marginal improvement. That's a category shift. What does this mean practically? You can hand Devin a scoped ticket -- "add pagination to this endpoint with tests" -- and come back to a PR. The feedback loop runs inside Devin's environment, not through you. It's not magic. It struggles with ambiguous requirements, novel architectures, and anything requiring product judgment. And you should absolutely review what it produces. But the workflow shift is real: from writing code to reviewing code. Day 1 of my #45DayDevinChallenge. Starting with the fundamentals before going deep on prompting, Playbooks, integrations, and the parts that actually matter in production. Refer in detail Medium post on the topic : https://lnkd.in/gJm2ddrB What's your experience with autonomous agents vs. copilot-style tools -- and which has actually changed how you work? #DevinAI #SoftwareEngineering #AIAgents

Stop Wasting Tokens: The 2026 GitHub Copilot Power Guide 🚀🛠️ Over the past few years, GitHub Copilot has evolved far beyond autocomplete. What used to be helpful suggestions is now closer to a system of specialized AI agents that can assist across your entire workflow. And with that shift, how we use it as developers is changing too. 🛠️ From prompting → to delegation Instead of relying on a single “do everything” approach, Copilot works best when you guide it clearly: • @terminal → for CLI, scripts, debugging • @docs → for accurate framework references • @test → for generating unit tests quickly 👉 Small shift, big impact on productivity ⚡ Thinking in systems, not steps One of the biggest unlocks is using tools like Composer for multi-file workflows. Instead of breaking tasks into many prompts, you can describe the outcome: “Add a Stripe webhook with a success email flow” …and let Copilot handle structure across files. 👉 Less back-and-forth, more momentum 🧠 Context matters more than ever Copilot performs best when the context is clear and focused. A few habits that help: • Keep only relevant files open • Use explicit references like #file:UserController.ts • Avoid vague descriptions when you can be precise 👉 Better context → better results 🧬 Let your types do the talking Providing structure (TypeScript interfaces, schemas) often works better than long explanations. It helps Copilot align with your system faster and more accurately. 🔁 Consistency improves results Using a simple structure for prompts: [Task] [Context] [Constraints] [Output Format] …can noticeably improve both output quality and efficiency over time. 🚀 The bigger shift As developers, the value is gradually moving from: Writing every line of code → Designing how systems get built Copilot is no longer just a tool you use. It’s something you collaborate with and guide. Curious how others are adapting their workflows—what’s been your biggest unlock so far? #GitHubCopilot #AIEngineering #SoftwareDevelopment #DeveloperProductivity #DevTools #GenerativeAI #TechLeadership #SeniorDevelopers #AIWorkflow

🚀 Stop writing boilerplate. Your IDE is now an active AI collaborator! GitHub Copilot has fundamentally transformed from a simple autocomplete tool into a comprehensive AI partner that lives right where you spend most of your time—the IDE. Did you know developers using Copilot report completing tasks 55% faster and saving up to 85% of their time on boilerplate code?. It’s no wonder over 1.3 million paid subscribers and 50,000+ organizations have already adopted it. Here is a quick look at how Copilot turns your IDE into a productivity powerhouse: 🔹 Conversational AI: Copilot Chat transforms your editor into an interactive environment where you can ask questions, refactor, and generate code directly inline or via a sidebar. 🔹 Workspace Commands: Use natural language slash commands like /edit, /tests, /security, and /explain to execute operations that understand your entire project structure. 🔹 Massive Context: Upgraded with a 128K token context window, Copilot now understands your whole workspace, allowing for complex multi-file refactoring. 🔹 Instant Code Reviews: Catch security vulnerabilities (like SQL injections) and performance issues in real-time before you even push your code. 📖 Read the full deep dive here: GitHub Copilot in the IDE: Your AI Pair Programmer, Always by Your Side 🔗 https://lnkd.in/djQ4FZ6j This article is a deep dive from a 6-part story exploring the complete AI developer experience across VS Code, the Terminal, CI/CD, and more!. Check out the parent story that ties the entire vision together: GitHub Copilot: The AI-Powered Development Ecosystem 🔗 https://lnkd.in/d32hYykQ #GitHubCopilot #AI #DeveloperProductivity #SoftwareEngineering #Coding #IDE

Big news for AI-assisted development 👀 Two major coding agents just landed inside GitHub Copilot for Business and Pro users. Claude by Anthropic and OpenAI Codex are now available directly within GitHub Copilot for Business and Pro customers. Enterprise and Pro+ had early access, and now this is rolling out more broadly. Here’s what matters. You can run Claude, Codex, and Copilot: - On github.com - In GitHub Mobile - Inside VS Code Same workflows. Shared history. Shared context. No context switching. And no extra subscriptions. It’s included in your existing Copilot plan. During public preview, each coding agent session consumes one premium request. One platform. Multiple agents. 🧠 All agents run on a unified platform inside GitHub with: - Repository code and history access - Issues and pull requests context - Copilot Memory - Repository instructions and policies - Enterprise governance via the Agent Control Plane (now GA) This is important. We are moving from “AI features” to an agent layer embedded directly into the SDLC, governed and observable at enterprise scale. What you can actually do - Start sessions on web or mobile - Assign agents to issues and PRs - Mention @copilot, @claude, or @codex in PR comments - Let agents open draft PRs - Compare approaches across agents For me, the bigger shift is this: We’re no longer debating which model is better in isolation. We’re orchestrating multiple agents inside one governed developer platform. That changes how teams experiment, compare, and standardize. Have you started running side-by-side agent comparisons in real repos yet? 🤔 #GitHubCopilot #AINativeDevelopment #AgenticAI #msftadvocate

Hosted GitHub Copilot Dev Days – Exploring the Future of AI-Powered Development I recently had the privilege of hosting GitHub Copilot Dev Days, where I got to engage with an amazing community of developers and dive deep into how AI is transforming the way we build software. During the session, I covered some powerful aspects of the GitHub Copilot ecosystem: 🔹 GitHub Copilot in VS Code We explored how Copilot seamlessly integrates into VS Code to provide real-time code suggestions, improve productivity, and help developers write cleaner and faster code. Live demos showcased how it assists across different languages and use cases. 🔹 GitHub Copilot CLI One of the most exciting parts was demonstrating the Copilot CLI, where developers can use natural language directly in the terminal to execute commands, generate scripts, and simplify complex workflows. It truly brings AI assistance beyond the editor. 🔹 GitHub Copilot Cloud Agent We also discussed the Copilot Cloud Agent and how it enhances collaboration by enabling intelligent code generation, context awareness, and scalable AI support across projects and teams. The session was highly interactive, with great discussions around real-world applications, best practices, and how developers can effectively integrate AI into their daily workflows. It was inspiring to see the enthusiasm and curiosity among participants as they explored the potential of AI-assisted development. It was nice hosting this session and contributing to empower the developer community. Looking forward to many more such learning experiences! #GitHubCopilot #DevDays #AI #SoftwareDevelopment #VSCode #Innovation #DeveloperCommunity

🚀 GitHub Copilot is no longer just autocomplete — it’s evolving into a full AI development ecosystem. What started as an AI pair programmer is now expanding across IDE, GitHub, Terminal, and CI/CD, helping developers plan, generate, test, review, and ship code faster than ever. In this article, I explore: 🔹 Copilot Workspace Commands and AI-native development 🔹 How Copilot operates across every surface where developers work 🔹 Why the future of coding is shifting from writing code to directing software creation 📖 Part 1 of my GitHub Copilot series: https://lnkd.in/d32hYykQ More deep dives coming next on: ➡️ Copilot in IDEs ➡️ Copilot in GitHub workflows ➡️ Copilot in the terminal and CI/CD pipelines If you're building software in 2026, understanding this shift isn’t optional — it’s a competitive advantage. #GitHubCopilot #AIinDev #DeveloperProductivity #AICoding #SoftwareArchitecture #DevTools #AITransformation

Cursor vs GitHub After 6 months of deep evaluation across multiple engineering teams, the developer experience gap is wider than expected. SETUP & ONBOARDING: Cursor wins decisively here. Download, authenticate, and you're coding with AI in under 5 minutes. GitHub requires VS Code setup, extension management, and often wrestling with authentication flows that can take 20-30 minutes for new team members. DOCUMENTATION QUALITY: GitHub Copilot benefits from Microsoft's enterprise documentation machine - comprehensive but sometimes overwhelming. Cursor's docs are leaner, more example-driven, and get developers to their "aha moment" faster. SDK & INTEGRATION: This is where it gets interesting. Copilot's tight VS Code integration means familiar keybindings and workflows. But Cursor's purpose-built environment offers features like AI-powered refactoring and codebase-wide context that feel genuinely next-generation. DEVELOPER HAPPINESS: Our internal surveys show 73% preference for Cursor among developers who've used both for 30+ days. The key differentiator? Less friction between thought and code. The surprising insight: tool switching costs are lower than we assumed. Most teams can evaluate both in a sprint. Which tool has transformed your team's velocity the most? See the full comparison: https://lnkd.in/e2fGGryV #Cursor #GitHubCopilot #DeveloperExperience

🚨 GitHub Copilot 2.0 Is Now Live, Are You Ready to Code Faster? 💡 GitHub Copilot 2.0 Drops New AI Coding Features GitHub announced the release of Copilot 2.0 on March 28, 2026. The update adds real time code completion, context aware documentation suggestions, and a new “Explain” mode that turns code blocks into plain English explanations. The tool now supports 30+ languages and integrates with GitHub Actions for automated CI/CD suggestions. For developers, this means less time hunting for snippets and more time building. For teams, the integrated docs help onboard new members faster, and the CI/CD suggestions reduce merge conflicts. For businesses, faster delivery translates to quicker market entry and lower support costs. After 9 years of building sites and mentoring freelancers, I see Copilot 2.0 as a game changer for small agencies that can’t afford a full stack team. The explain mode is especially useful for non technical stakeholders who need to understand code changes. However, I still caution against over reliance; the tool should augment, not replace, human judgment. What do you think? Overhyped or the future of coding? Check if your team is leveraging Copilot 2.0 – it could shave weeks off your sprint. 🚀 #TechNews #WebDevelopment #AI #WordPress #DigitalMarketing #Technology #GitHubCopilot #Coding #DeveloperTools #StartupLife #FreelanceLife #BusinessGrowth #Innovation #SoftwareEngineering #Productivity