We're redefining the SDLC for the agentic era. Lots of GitHub updates this morning at Universe: • GitHub Copilot Fusion delivers frontier-level quality, 40% faster and at up to 77% lower cost • Our unified Copilot harness is now in Foundry, a managed service for building long-running agents that reason, use tools, and get work done • Copilot Projects gives you an orchestration loop to build with multiple agents across repos And we’re expanding capacity and strengthening GitHub’s architecture to make the home of agentic development more resilient.

Oct 28, 2026 · 5:08 PM UTC

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Read more: github.blog/news-insights/co…
GitHub Universe 2026: Evolving every layer of the stack

GitHub Universe 2026: Evolving every layer of the stack

Today, we laid out our vision for GitHub as the most comprehensive, end-to-end software delivery system in the world.

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I guess github’s moat is starting to look less like code hosting and more like workflow gravity. If Fusion can cut inference cost while projects coordinates multiple agents across repos, then every additional agent makes github more central to how software gets built. That’s a much stronger position than just shipping a better coding assistant.
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satya i hope GitHub team fixes this security vulnerability
Ayush Agarwal (@ayushagarwal) profile pictureAyush Agarwal
@ayushagarwalOct 27
someone outside our GitHub org deleted one of our private repos. no membership or invite or role. nothing in our org or enterprise audit logs gave them access. just one repo.destroy from the gh CLI. and it's not in deleted repositories, so no restore. @github how is this possible, what sorcery is this?
Image from Ayush Agarwal (@ayushagarwal)
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Agents now open more than a third of GitHub pull requests, by Satya Nadella's count. That makes code review the new control point. Every board should ask management two things: what share of merged code is agent-written, and what gate did it pass? If nobody knows, you have unreviewed production risk. What does your gate look like?
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77% lower cost is the line I'd lead with. The companies I talk to aren't stuck on quality anymore. They get stuck on the bill once usage spreads past the pilot team.
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The budget line sits lower in the Universe post. Enterprise customers now get every Copilot feature with no separate subscription and pay for the AI credits they use. Fusion bills each model it calls at its own rate. The seat stops being the unit. Routing is now a finance call.
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faster and cheaper generation is nice. with many agents across repos the queue moves to review though - good to see a security review piece in there too
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When two agents touch the same dependency, hold both PRs for that package's owner. Cross-repo speed is cheap, cross-repo breakage isn't.
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Is Copilot Fusion routing across models or is it one new model?
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Wow look at all this junk. If you give something a name, it becomes a thing! I guess! This is all stuff my juniors might enjoy. They seem to love wallowing in a soup of cognitive garbage. No one needs this. Whatever this is.
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You have one job and that’s to not mess up with Github. Can you do that seriously please?
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GitHub Copilot is currently unavailable for accounts billed through Azure. And apparently, there’s no ETA for a fix. Many startups rely on Microsoft for Startups Azure credits to build and ship products. Blocking Copilot access for Azure-billed accounts disrupts developer workflows for founders who are already building within the Microsoft ecosystem. @GitHub @GitHubCopilot @Microsoft — is this a temporary capacity issue or a policy change? When can affected users expect a resolution? github.com/orgs/community/di…
GitHub Copilot is currently unavailable for accounts billed through Azure · community · Discussion...

GitHub Copilot is currently unavailable for accounts billed through Azure · community · Discussion...

🏷️ Discussion Type Question 💬 Feature/Topic Area Copilot in GitHub Body Hello GitHub Community, We cannot enable GitHub Copilot for our organization. The Copilot settings page displays this...

github.com
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For teams moving onto a shared harness, the part I'd check first is where a correction made in one session gets stored. If it stays only in that session's context, the next session repeats the same mistake.
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Let's bet on it
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bro redefining the SDLC for the agentic era is a huge shift, especially Copilot Fusion at 40% faster and much lower cost. Which part do you think changes developer workflow most, agents, automations, or the unified harness?
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The interesting part isn't the orchestration itself, it's who owns the review step once agents draft most of the code. Merge rates are already close to human ones
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Up to 77% lower cost is huge if you run agents all day. Curious how it holds up on big repos.
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Cheaper frontier quality changes the math for every small team. The SDLC really is being rewritten.
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"frontier-level quality" on whose evals tho. 77% cheaper is the only number i can check myself. ill believe the rest when it survives a week in a messy monorepo
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SAP is doing the enterprise version of this with more than 70 models, picking the cheapest one that meets the standard & expecting over 2 billion euros in gains in two years. Routing is becoming a margin decision, not a model preference.
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Copilot Projects is the one to watch. Running many agents across repos is easy to picture; reviewing all that work every day is the part teams will need help with.
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@satyanadella what about AI-native version control? Anthropic aren’t the first to roll their own system, and they won’t be the last, but they are one of the most influential. Surely GitHub needs to respond?
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Very cool! I'm excited for this evolution of @github . Please keep making the product stable and adding valuable features for developers.
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A big cost cut on paper still needs a test in your own workflow. Track hours saved against the seat or usage fee for 60 days before rolling any AI tool out company-wide.
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Given the focus on cost,does the 77% lower cost come from a smaller model doing the work, or from fewer steps per request?
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When agents write more of the code, which step slows down first for enterprise teams: review, testing, or release?
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GitHub's AI agents are making things work faster and better. Let's also hope debugging keeps up.
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The next challenge isn't just building autonomous agents faster. It's proving what they actually did. As agents operate across repositories and systems, we need verifiable actions, approval controls, audit trails, and independent testing. ...where AI governance is operational. – at Norwalk, CT
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The part nobody budgets for is the audit trail. Once agents write and merge code across repos, a regulated company has to explain who decided what, and that record becomes a core part of the lifecycle.
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77% lower cost is the only part my finance brain read
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What about Azure DevOps for people and enterprises who dont want Github instability?
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All of this is great and I'm excited to try it out, but please work on the reliability of the platform over everything else. We can't use these features if Github is down.
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For cross-repo agents, I'd watch time and cost per merged change, including review and rework. Faster, cheaper generation pays off most when integration tests and review can keep up.
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The multiple agents across repos piece is what I'm watching. You can go and vibe code anything almost now. But without solid engineering practices in place, it's pretty hard to get a quality product for the enterprise. More agents just means more code somebody has to review.
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GitHub Copilot may be the best Copilot!
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As a developer, I'll still not prefer it over any other code agent. Let the microsoft be so micro and so soft that it should beg their employees to join back.
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