GitHub✓

Frontier performance at a fraction of the cost. In the @ArtificialAnlys Coding Agent Index, Copilot Fusion Max scored within two points of Claude Code with Opus 5.5 Max at about half the API cost per task. Get 30% off through Nov. 30. Try it now. ⬇️

📣 Coming soon to GitHub Copilot: intelligent local model routing. We are excited to announce the next step in our Project HydraFusion vision. GitHub Copilot will soon be able to automatically route tasks to a local model when it's most suitable, helping you save on AI credits.

17.9 billion pushes. 34.3 billion commits. 1.3 billion pull requests merged. All in the last year. Developers pushed code to GitHub more times in the past 12 months than in 2024 and 2025 combined with merged pull requests, averaging 3.5 million a day. Dive into the data behind how developers are building now with this year's Octoverse report. ⬇️

Catching up on #GitHubUniverse? From Copilot Fusion to infrastructure investments, here's what you missed from the day 1 keynote.

Unboxing the #GitHubUniverse blind box keyboard ⌨️

RT @msdev: The @github engineering team built a best-in-class, truly multi-model harness, which we've implemented across Microsoft products. Introducing Microsoft Copilot harness in Foundry Agent Service, a simpler way to build agents without rebuilding the execution layer. It handles orchestration, tools, context, and controls so you can focus on your agent’s skills and outcomes. Watch @jeffhollan's demo to see it in action.

Want a free pin? Come find us at #GitHubUniverse 🐿️

What it means to be a developer has changed, but the goal of completing meaningful software work remains the same. Today we shipped some updates to help you create while staying in control of what actually ships. ⬇️

Don't worry, Rubber Duck. You can save your virtual #GitHubUniverse seat (for free!) ⬇️

Copilot Automations ⚙️ Every developer has work they shouldn’t have to repeat. Define the job once, then run it on demand, on a schedule, or in response to activity in GitHub or a connected service. Share automations with your team and set their access, actions, and spending limits.

RT @kdaigle: We sold out in-person tickets this year, but hoping you can still show me what you got. I’ve got a few extra customizable GitHub keyboards that we’ll ship to three people who can build a wild custom canvas that makes their workday better in the GitHub Copilot app. May the odds be ever in your favor. 😄

Check out everything we launched today 👇

🆕 GPT-6.1 Terra from @OpenAIDevs is now generally available in GitHub Copilot. Our early testing shows GPT-6.1 Terra solved noticeably more terminal and C# coding tasks than GPT-5.6 Terra. It works in focused, consolidated steps on well-scoped tasks. Try it out for everyday agentic coding and terminal work at a lower cost than GPT-6.1 Sol. Find it in the GitHub Copilot app, CLI, and @code.

RT @jayparikh: Today at #GitHubUniverse we laid out how we're evolving GitHub for the agentic era. Check it out:

Faster secret scanning. Less noise. GitHub's classifier raised acceptance by 11.5% and cut median scan time by 86%.

#GitHubUniverse 2026 begins now! 🎉 Watch the Day 1 Keynote 👇

#GitHubUniverse badge just went digital… and yes it runs Doom. Customize your own, play and share it with #badger26. Sign up to join us virtually (for free) at

Join Universe Insider right after the keynote for live demos and deeper dives from today's announcements!

Working with outside collaborators can add more work for a repo owner, from confirming access to changing permissions. To keep up with manual housekeeping for one shared org, we decided to use Evergreen: a GitHub App built with native GitHub features. The workflow 👇

RT @ArtificialAnlys: GitHub has released Copilot Fusion in GitHub Copilot, which orchestrates between Anthropic and OpenAI models. It scores 2 points below Opus 5.5 in Claude Code at half the Cost per Task in the Coding Agent Index GitHub describes Copilot Fusion as a runtime orchestration system, which selects and coordinates models to optimize performance, cost, and latency for each task. Copilot Fusion chooses between a number of models from Anthropic and OpenAI, including Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. We benchmarked its max setting in GitHub Copilot CLI in the Artificial Analysis Coding Agent Index v2.0. Token costs are charged based on the underlying models used to complete a request. Key takeaways: ➤ Cost-efficient for near-frontier performance: Copilot Fusion in GitHub Copilot costs $5.59 per task, versus $11.42 for Claude Code with Opus 5.5 (max). Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high) scores 62 at $8.00 per task. ➤ Slight lead in Terminal-Bench 4.0: The Coding Agent Index v2.0 weights its three constituent benchmarks equally. Copilot Fusion in GitHub Copilot leads Terminal-Bench 4.0 with a score of 71. It ranks third on FrontierCode in the chart at 51, behind Claude Code with Opus 5.5 (max) at 56 and Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high) at 54. Its SWE-Atlas-QnA-AA score lags at 57, between GPT-6 Astra in Codex and Gemini 4 Argon in Antigravity CLI. ➤ Half the token use of Opus 5.5 in Claude Code: GitHub Copilot Fusion used 7.2M tokens per task in the Coding Agent Index, approximately half of the tokens used by Claude Opus 5.5 in Claude Code, and 30% less than Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high).

While you're waiting for GTA 6...

GitHub commissioned and funded this evaluation by @ArtificialAnlys. Full results and methodology:

Spent a bunch of tokens over the last few weeks building a fully procedural New York simulation. It's only 784KB gzipped and the code is on github, so you can do whatever you want with it ✌️

Take a peek inside @pimoroni's factory and see how the hackable #GitHubUniverse 2026 badge came to life 🛠️

Can you guess what just dropped at the GitHub Shop? Our #GitHubUniverse collection is here. 🛍️

Probably shouldn't be posting this... 🤫 #GitHubUniverse

RT @burkeholland: Going to @GitHub Universe? Join myself, @pierceboggan, @Jujujuliakasper, @okatiesavage and @JamesMontemagno for a look at how your team can work seamlessly with @GitHub Copilot...pretty much everywhere.

Sign up to join us virtually for the day 1 #GitHubUniverse keynote on Oct 28 👀

RT @kdaigle: Spent the weekend testing out our new Universe badges with my son. He gave it a 10/10. RP2350 on MicroPython, 2.8" TFT, accelerometer that auto-flips the screen, capacitive gaming controls, and an AGENTS.md so Copilot can code + deploy to it. 🤓

1 week away from #GitHubUniverse and we can't wait to see you 🌁 Can't make it in-person? Sign up to join us virtually (it's free) ⬇️

RT @ashleymcnamara: The GitHub Universe badges are sick 😍

As traffic grew exponentially, we moved 99.99999% of GitHub's Git repos to Azure. A new write path moves the last, busiest repos, keeps cross-region round trips from capping throughput, and enables stateless Azure Blob Storage replicas.

Chopin + Proof-Driven Development Kit from @GitHubNext and @MSFTResearch enable teams to ship AI-generated code to production without reviewing it line by line, with stronger assurance than code review and testing alone. Now in research preview ⬇️

How do you _guarantee_ your agent's code is correct? You prove it. Introducing Proof Driven Development Kit (PDD Kit) from @MSFTResearch. PDD Kit helps turn your plan into a formal spec, then proves the agent's code meets that spec for every input. No vibe verification. PDD Kit is integrated with @GitHubNext's Chopin, so you can plan as a team. PDD Kit takes an app's login flow from intent to a verified pull request: It discusses your code, infers your intent as it goes, and proposes a formal spec in Verus, a proof language for Rust. Once you approve the spec, the Verus verifier automatically proves the code meets it. Where proof isn't possible, it falls back to empirical verification with tests and computer-use agents (CUAs). It works on Rust today. No new language, no change in how you produce the underlying code, making formal methods more accessible. The goal is a verified software factory, where engineers review specifications instead of code. Come see it in action at GitHub Universe, Oct 28–29. Swing by the Speakeasy and ask for GitHub Next!

Most high-impact bugs are still authorization issues, says one top GitHub researcher. When it comes to AI, a fast car still needs a good driver. We ask them about their method 👇

RT @moraes_c_: We worked with maintainers, including @tianzhouchen, to build a better way to track GitHub stars over time. The new API returns daily star counts without exposing who starred a project, making star history easier to retrieve, cheaper to serve, and more private. Here's how we built it: