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GitHub officially makes Copilot Fusion available at Universe 2026, and opens public beta of Copilot…

At GitHub Universe 2026, held October 28–29, 2026, GitHub announced that Copilot Fusion, which integrates automatic model selection with multi-model collaboration, is now generally available. It can be used in VS Code, the GitHub Copilot app, the CLI, and JetBrains IDEs, and it automatically determines which model to use and which of three execution modes—Single, Cascade, or Critique—to apply, based on three processing tiers: Standard, High, and Max. The desktop GitHub Copilot app is also beginning a public beta of Projects, which centralizes materials, repositories, sessions, and artifacts in one place for management. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, within 2 points of Claude Code using Opus 5.5 Max, while its average API cost per task is about half and its time is about 40% less.

Microsoft Releases GitHub Copilot Fusion, Routing Coding Tasks Between Claude and GPT Models

Microsoft has released GitHub Copilot Fusion, which can route coding tasks between Claude and GPT models. On Artificial Analysis's Coding Agent Index, its Max setting scores 60, versus 62 for Claude Code; the per-task cost is $5.59 versus $11.42. Fusion consumes 7.2M tokens per task, about half of Claude Code's usage.

GitHub launches five new features at UNIVERSE'26, including Copilot Fusion and Projects

At the UNIVERSE'26 event, GitHub announced several new Copilot features. Copilot Fusion can coordinate multiple models and workflows when a single model is not enough; Copilot Projects centrally displays work progress and assigns Copilot its next tasks; in addition, there is a security extension for code scanning alerts, Copilot dreaming, which provides improvement suggestions for personal memory and repository instructions, and Copilot Automations, which can be triggered on demand, on a schedule, or by events.

Microsoft at GitHub Universe announced Copilot Fusion, Foundry managed service and…

At GitHub Universe, Microsoft announced multiple updates, saying it is redefining the SDLC for the agent era. GitHub Copilot Fusion is claimed to reach frontier-level quality, with a 40% speed improvement and up to 77% lower cost; the unified Copilot harness has entered Foundry as a managed service for building long-running agents that can reason, call tools and complete work; Copilot Projects provides an orchestration loop for multi-agent collaboration across repositories. Microsoft also said it is expanding capacity and strengthening GitHub's architecture.

GitHub launches Copilot Access, Enterprise customers no longer need an additional Copilot license

GitHub launches Copilot Access: customers holding a GitHub Enterprise Cloud license can use all Copilot features for $21 per month, with no additional Copilot license required, so enterprises no longer need to manage two licenses per user. Copilot Standalone remains $10 per month but does not include credit allowance and is billed from first use; existing Copilot Business or Copilot Enterprise customers can keep their current plan or voluntarily migrate, currently by contacting sales, with a self-service option to follow later. GitHub also introduces model routing Copilot Fusion, which can select a suitable model or combination of models for each prompt, saving up to three-quarters of token costs with essentially unchanged quality according to its benchmarks, and can call locally installed models.

GitHub adds 4 million CPU cores and releases Copilot Fusion multi-model routing

GitHub announced that on top of its August expansion it is adding more than 4 million additional CPU cores and 160 PB of storage, and rebuilding its Git architecture to decouple compute from storage, which it says can deliver up to a 35x throughput improvement. At the GitHub Universe conference, Copilot Fusion became generally available, routing frontier models across three tiers—Standard, High, and Max—based on task difficulty; the company says the Max tier improves task completion rates while keeping inference costs within 1.1x of baseline models. GitHub also launched AI code scanning, reachability analysis, and an npm package firewall, while Copilot Projects, Connectors (with native MCP integration), and Automations are now live; Copilot access has expanded to all GitHub Enterprise users with no additional seat purchase required.

GitHub releases Copilot Fusion model selection and orchestration system

GitHub released Copilot Fusion at the Universe conference; the system automatically selects and orchestrates the models used for coding tasks, and it is now generally available. GitHub says Fusion Max scores 60 on the Artificial Analysis Coding Agent Index, less than 2 points behind Claude Code using Opus 5.5 Max, while its average API cost is about half of the latter and its time per task is about 40% lower. Developers only need to choose among three investment levels—Fusion Standard, High, and Max—and enterprise administrators can restrict which models are available and set whether it is the default.

GitHub Package Firewall opens public preview, blocking malicious npm packages

GitHub is opening Package Firewall as a public preview to Enterprise Cloud customers, checking package queries and downloads against centralized security policies; currently only npm packages are supported. Administrators can set a waiting period after a new version is released, block based on malware and vulnerability information from the GitHub Advisory Database, and prevent downloads when install scripts such as preinstall or postinstall appear for the first time in a new version or when SLSA provenance that previous versions had is missing. The firewall sits between clients and upstream package sources, so coding agents and CI/CD hosts must route their requests through the service for it to take effect; it is free during the preview, and general availability will be billed by usage. GitHub has not announced the general availability date or specific pricing.

Cloudflare OS Launches Managed Service, Adds GitHub and Gmail Connections

Cloudflare has announced a managed service for its AI business platform Cloudflare OS, with waitlist registration now open. Cloudflare OS was open-sourced in August this year and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprise internal data. Two features were added this time: first, connecting to GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, strengthening the Google Workspace integration, so agents can read and search Gmail conversations, draft and send emails, and connect to Google Drive, Docs, and Sheets.

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Axiom Open-Source Repository: Dozens of AI Agents Generate About 43 Million Lines of Lean Code in 24 Days

Axiom has released an open-source GitHub repository in which dozens of AI agents converted the 15,000-page classification of finite simple groups proof into about 43 million lines of code within 24 days. The code is written in Lean and allows the proof to be verified step by step; the entire result is validated by running the code rather than by rereading hundreds of papers. Axiom's chart tracks the scale of AI-written Lean projects since mid-2025, and by its estimate the scale doubles roughly every 37 days.

Entire Launches a New Generation of Git Hosting for Human-AI Collaborative Coding

Entire, founded by the former GitHub CEO, has launched a new generation of Git hosting that reworks code hosting, review, CI, and Agent session memory around human-AI collaboration. It uses Trail to replace the diff-centric PR timeline; each push is scored by a review Agent in a cloud sandbox and tracks unresolved issues, calling Claude Code, Codex, and others under the hood, with sandboxes provided by Daytona and E2B. Its self-developed Git service offers its own open-source benchmark, claiming pushes are up to about 89 times faster than GitHub, and it has integrated Buildkite and Depot as CI.

Unsloth Lets Local LLMs Autonomously Control the Browser to Complete Tasks

Unsloth announced that local LLMs can now take over the browser and autonomously complete tasks; Qwen3.8-27B completed operations such as playing chess and drawing without human intervention. The tweet also provides links to the GitHub repository and a companion guide.