GitHub AI & ML

Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog.

What is a developer to do when they need something more tangible than a chat box? Enter canvases. The post When chat is the wrong UI appeared first on The GitHub Blog.

In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework. The post AI-powered fuzzing with the GitHub Security Lab Taskflow Agent appeared first on The GitHub Blog.

How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments. The post Rendering huge pull requests in the GitHub Copilot app appeared first on The GitHub Blog.

We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub Blog.

A rewrite this size wasn't affordable before agents. Here's what porting the Copilot agent runtime to 800,000 lines of production Rust actually took. The post Migrating the GitHub Copilot runtime to Rust, using Copilot appeared first on The GitHub Blog.

If you can write down how you do your work, you can automate it. Here's what I did to support GitHub's APAC marketing team. The post Marketing ops as code: Automating events from planning to follow-up on GitHub appeared first on The GitHub Blog.

Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app. The post GitHub Copilot app for Beginners: Using the diff, terminal, and browser appeared first on The GitHub Blog.

GitHub is introducing Project HydraFusion, a research preview in GitHub Copilot that automatically orchestrates models from multiple providers—using single, cascade, or critique workflows—to balance quality, cost, and latency for each coding task. In offline agentic benchmark evaluations, HydraFusion matched or exceeded the Claude Opus 5 baseline on verified quality while cutting estimated workflow cost by 36–67%.

Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful.

GitHub shares how GitHub Copilot reduces AI coding cost by optimizing the completed task rather than individual tool calls. Four improvements—selectively compressing noisy output, removing unused line numbers, behavior-tested prompt compression, and batched background-result delivery—cut inference cost, prompt tokens, or AI Credits by roughly 1–5 percent without material quality regressions.

Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task. The post GitHub Copilot app for Beginners: Automate Dependabot pull request triage appeared first on The GitHub Blog.

These are the lessons we learned evaluating LLMs for real-world secret scanning. The post How to evaluate LLMs before production appeared first on The GitHub Blog.

If you’re juggling multiple Copilot sessions, use the My work pane to track what's in flight, what's done, and what's next. The post GitHub Copilot app for Beginners: Managing your work appeared first on The GitHub Blog.

Chat is great for intent, but agent work gets lost in the scroll. Here is how I use canvases with my agentic workflows—and why your workflow also deserves a canvas. The post How canvases make agentic workflows visible, steerable, and cost-efficient appeared first on The GitHub Blog.

GitHub Agent Apps bring tools like Amplitude, Endor Labs, LaunchDarkly, and PagerDuty directly into GitHub, so developers can validate a feature, review dependencies, roll out safely, and assess deployment risk without switching contexts. Using an onboarding change as an example, the post shows how agents can answer key questions across the SDLC while keeping humans in the loop.

Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence. The post Write your first prompt with the GitHub Copilot app appeared first on The GitHub Blog.

Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared first on The GitHub Blog.

Go beyond chat in the GitHub Copilot app with these slash commands. They'll help you plan, collaborate, automate, and customize your dev workflow. The post A guide to slash commands in the GitHub Copilot app appeared first on The GitHub Blog.

Learn how to build tools to simplify how you work—without writing a single line of code. The post How the GitHub legal team used Copilot CLI to streamline their workflows appeared first on The GitHub Blog.

The author describes how they modernized a decade-old frontend codebase using stacked sessions and pull requests in the GitHub Copilot app, breaking down tasks to avoid scope creep and achieve progressive updates.

If you're overwhelmed by new AI tools, this practical GitHub Copilot workflow focuses on prototyping, planning, implementing, and reviewing with the existing harness. Key steps: pick one tool, enable YOLO mode (sandboxed), prototype first, plan methodically with edge cases, implement with Autopilot, and review ruthlessly for quality.

New to the GitHub Copilot app? Learn how to start projects, work with AI agents, explore canvases, and streamline your development workflow.

GitHub Copilot now bills usage at listed API rates. This article compares direct model access with the coding workflow, policy, and harness work around Copilot to help developers choose based on their needs.

GitHub Copilot's 'canvases' transform AI from a conversational tool into a visual, interactive workspace. Developers can create custom canvases via prompts for tasks like issue triage, code visualization, session management, prompt coaching, and knowledge finding. Canvases support real-time collaboration, allowing users and AI agents to iterate together.

How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The GitHub Blog.

The Aspire team uses GitHub Agentic Workflows to automatically generate documentation pull requests from merged product changes, reducing median time-to-docs from weeks to 44.8 hours with 100% merge rate.

Learn how to go from an empty repository to a live custom domain with HTTPS in about 14 minutes, without manually editing a single DNS record, using GitHub Copilot CLI and a Namecheap skill.

How the GitHub Copilot agentic harness achieves task completion on par with model-vendor harnesses while using fewer tokens, and supports over 20 models.

A senior director at GitHub shares how she uses 40 automations to manage her workflow, freeing up mental space for what really matters. She explains how automations help with meeting prep, follow-ups, team alignment, and especially for her as someone with AuDHD, they serve as an essential accessibility tool.