A canvas in the GitHub Copilot app is a customisable two-way interface. Entering /create-canvas in an agent session and describing a workflow generates boards, release checklists or dashboards without coding. Canvases are saved as extensions, shareable with projects or reusable personally, with community templates available through Awesome Copilot.
The GitHub Copilot app introduced canvas, full-stack mini-apps running inside the app without browser chrome. They communicate bidirectionally with Copilot agents and can call third-party APIs or execute code locally.
GitHub Security Lab released Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects. Given a GitHub repository, it identifies entry points, analyses build systems, writes harnesses, runs AFL++, reads coverage reports and improves harnesses, then classifies every crash and generates vulnerability reports.
GitHub rebuilt its Copilot app's pull request view to handle rendering pressure from huge diffs and comments, testing an open-source PR with 2,200 files, over 1 million changed lines and more than 400 inline comments. It separates document height into deterministic code geometry and dynamic block geometry: code line heights are computed precisely in advance, while comments and other dynamic blocks use bounded heights and deferred measurements, with corrections anchored to the user's current position.
GitHub used the Copilot app and Copilot CLI to completely rewrite the Copilot agent runtime from TypeScript into over 800,000 lines of production Rust. AI agents wrote most of the code, delivered incrementally across 128 PRs, improving performance by several orders of magnitude.
GitHub's Japan and Korea marketing leads used Copilot to automate event operations. GitHub Issues are work units, Issue forms collect structured fields and labels trigger Actions workflows to generate UTM links, landing pages and invitation emails and clean registrant lists.
Copilot's built-in diff, terminal and browser panels enable review, execution and preview of AI code without switching applications. The diff highlights additions in green and deletions in red, supporting acceptance, comments or further edits. The terminal runs project commands with multiple windows, while the browser's Pick & Polish selects elements for agent adjustments.
GitHub released a research preview of Project HydraFusion, using runtime multi-model orchestration to deliver frontier-level coding through Copilot. Users can enable it via /experimental in GitHub Copilot CLI, paying each model's standard rates for tokens actually consumed.
Copilot app runs multiple agent sessions simultaneously in separate Git worktrees, preserving context without interference. The sessions view shows titles and progress, allowing switching and resuming without restating tasks. The article demonstrates funded sort development, accessibility review and testing in parallel in tailspin-toys.
Google Research released TimesFM-3, its first time-series foundation model pretrained natively for multivariate forecasting, with 330 million parameters and over 1 trillion pretraining time points.
Google Research released TabFM for tabular classification and regression. It reframes table prediction as in-context learning, producing predictions in one forward pass without manual training, hyperparameter tuning or feature engineering.