GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you. Copilot Fusion brings together Project HydraFusion’s multi-model orchestration and Copilot auto model selection’s fine-tuned model selection, leveraging the benefits of both to balance performance and cost ef
Work doesn’t always fit in a single repository or session. A feature can span several repositories. A launch plan can pull in specs, designs, and assets without touching a repository at all. Projects in the GitHub Copilot app give that work one home, with its context, agents, and results together. Copilot coordinates the work in the background and checks in when it needs you. Give Copilot a goal S
Enterprises working with a GitHub or Microsoft account team can now get Copilot included with GitHub Enterprise for every licensed user. Previously, you had to manage two things: how many Copilot seats you were paying for and how much AI usage those users consumed. With Copilot included in the platform, usage against your enterprise budget is the primary thing to manage. Self-serve availability is
You can now work through your repository’s GitHub code scanning alerts without leaving the GitHub Copilot app. The new GitHub security extension, now in public preview, lets you find the alerts that matter most and ask Copilot to explain or help fix them. Until now, fixing a code scanning alert meant switching between the alert on github.com and the code in your editor. With the security extension
Agents should understand more than your codebase—they should understand how your team works. Your preferences, repository conventions, skills, and custom instructions guide how changes should be made, while code in related repositories can show how the pieces fit together. Without that context, agents spend time rediscovering knowledge and can miss your team’s conventions. GitHub intelligence is t
Shared Copilot Automations are rolling out, enabling teams to build and maintain AI-powered workflows together. With Copilot Automations, you can combine prompts, triggers, and tools to design workflows around the way your team works. Copilot runs autonomously in the cloud, using only the tools you’ve allowed. For example, you could create automations to: Reproduce bugs as soon as an issue is open
You can now generate and edit images using natural language in GitHub Copilot. When you ask for an image, your selected reasoning model calls a dedicated image-generation tool powered by GPT Image 2.5 Flare, previews the result inline, and saves it to your project. Previously, getting a visual asset while working in Copilot meant stepping away to a separate tool, describing what you needed again,
Today we are shipping intelligent routing for local models into experimental preview. GitHub Copilot Fusion can now choose between supported on-device models and cloud models, enabling intelligent local model routing in GitHub Copilot CLI, GitHub Copilot app, and Visual Studio Code. This opt-in experimental preview lets you use your device’s compute without switching models manually for each reque
GitHub Agentic Workflows , an open source project from GitHub Next, is now generally available. With agentic workflows, you can automate reasoning-based tasks like issue triage, CI failure analysis, documentation updates, and test writing by using coding agents inside GitHub Actions. Define your automation in natural language Markdown files, and GitHub Agentic Workflows compiles them into standard
Dependabot alerts can add up faster than a team can work through them. A vulnerable package in your dependency tree doesn’t always mean your code uses the vulnerable part of it, so knowing whether it does gives you more context when deciding where to start. Reachability analysis for Dependabot, now in public preview for JavaScript and TypeScript, adds that context to your alerts. It looks for call