The AI-powered developer platform to build, scale, and deliver secure software.
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Joined February 2008
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Solve problems, accelerate development, and keep developers responsible for the results. Three Java Champions share how they use GitHub Copilot 👇
github.blog/ai-and-ml/github…
🆕 @GoogleAI's Gemini 4 Carbon is now generally available in GitHub Copilot.
Designed for complex coding, agentic, and reasoning tasks, it has a special focus in security work.
Try it in the GitHub Copilot app, CLI, and @code.
github.blog/changelog/2026-1…
Claude Fable 5.2 requires data retention by default to operate Anthropic's safety classifiers. Zero data retention access is available for certain eligible enterprise customers.
support.claude.com/articles/…
It's here ➡️ @AnthropicAI's Claude Fable 5.2 is now generally available in GitHub Copilot.
Our early testing shows Fable 5.2:
• solved more tasks than Fable 5.1 while using fewer steps and tool calls
• completed difficult tasks that earlier models missed
Try Fable 5.2 for complex, multistep coding jobs across large codebases. Find it in the GitHub Copilot app, CLI, or @code.
github.blog/changelog/2026-1…
GitHub retweeted
Both Slack and Teams surfaces are GA and on a weekly release cadence. Keep your team in flow 🏎️
github.blog/changelog/2026-1…
Your agent may have started the work, but you can finish the task in your IDE.
Open a GitHub Copilot app session directly in @code. The task, plan, conversation, and code changes all come too (so you don't need to start over 😅).
Here's every step ⬇️
github.blog/ai-and-ml/github…
How many donuts were eaten at #GitHubUniverse? 👀
Guess before the answer is revealed ⏳🍩
💡 Bring all your related work together with projects in the GitHub Copilot app.
Give Copilot a goal and it will coordinate the work. Your project can span one or more repos or focus on tasks that don't require one. Copilot can start sessions, set up recurring automations, or create artifacts; they'll show up in your project. 🗂️
Keep your sessions together to work toward one objective. Get started 👇
docs.github.com/copilot/how-…
Through internal testing, GitHub’s new Git storage architecture supported 5,000 concurrent agents working on a repo, sending 7,200 pushes per second, all while serving read traffic with consistently low latency.
What's the best way to learn? Give yourself permission to play, but time-box it.
In our latest episode of the GitHub Podcast, @martinwoodward discusses how AI is changing open source, developer skills, and the joy of building things. Find it wherever you listen to podcasts or 👉 the-github-podcast.simplecas…
Here's a new way to assess your Copilot skills 💡
GitHub Copilot Verified Proficiency measures your demonstrated capability continuously as you do your work with Copilot. No exam, just data 📊
Learn more about calculating your proficiency level ⬇️
learn.github.com/proficienci…
ALT Assess your skills with GitHub Copilot Verified Proficiency. Get evidence-based suggestions about how effectively you work with GitHub Copilot.
GitHub retweeted
Confession: I’ve scrolled past dozens of comments on a PR just to find out why I couldn’t merge it. More times than I’d like to admit.
Agents have made this a lot worse. They push commits and leave review comments of their own, and all of it lands in the timeline. PR timelines have gotten dramatically noisier, and the few things you actually need to know get buried.
My team is rethinking the foundations of the PR experience around that problem, and today the first piece went into public preview. The new Overview page puts merge readiness and your next step right at the top. A summary catches you up on review activity, and you can filter the conversation down to unresolved threads. It’s opt-in and rolling out through the weekend.
This is a much-needed start, and there’s a lot more coming as we modernize PRs for the way software gets built now. If you try it, we’d love to hear what still sends you back to the classic view.
github.blog/changelog/2026-1…
GitHub retweeted
How we can secure 50% of the world's software.
Traditionally, formal methods have been mostly used for safety-critical systems like operating systems, hypervisors, and databases. We're extending this to formally and empirically verify code correctness and security for full-stack web apps, one of the most common types of applications*, using the Proof-Driven Development Kit (PDD Kit).
Coding agents now write code faster than anyone can review effectively. PDD Kit turns what the developer meant into a Verus specification. It then proves the AI-generated code meets that spec for every input.
Researchers @alexlavaee, @MatthaiP39719, @Mappletons, and @k_cieslak break down Proof-Driven Development x Chopin in the blog here: githubnext.com/projects/pdd-…
*44.4% of respondents work as full-stack (27.3%), back-end (13.5%), or front-end (3.6%) developers. Stack Overflow Developer Survey 2026, n = 25,767.
Learn more about Copilot Fusion 💡
docs.github.com/copilot/conc…
Instead of picking the model for each and every task, let Copilot Fusion route and orchestrate which model to use. ✅
Copilot Fusion balances performance and cost efficiency, picking from three execution patterns for the job: Single, Cascade, or Critique. All you need to do is choose the effort level.
Try it in the GitHub Copilot app, Copilot CLI, and @code, now 30% off through November 30.
ALT Diagram titled "Three execution patterns in Copilot Fusion," comparing three workflows: Single, where a primary model uses tools to request an answer; Cascade, where a primary model makes a first pass before a judge model either accepts its result as the answer or escalates to a repair model for a fresh-start answer; and Critique, where a primary model drafts an answer and a read-only critic either approves it as-is or requests a revision by the primary model.
GitHub retweeted
Makerspace + Hack the Badge = two of my favourite activities at #GitHubUniverse! 🚀
Couldn't stop hacking when I got home. Now I can control the Octolamp from my conference badge over my home network.
The fun doesn't end when the conference is over!
ALT Virtual badger controlling virtual octolamp
GitHub retweeted
Built my first mechanical keyboard! Some mistakes were made but I got it all working eventually! 😂
Only at #GitHubUniverse does @martinwoodward get an entire stage to bring plushies to life with machine learning models 🐿️