GPU implementation of Harmony, a unified framework for data visualization, analysis, and interpretation of scRNA-seq data measured across discrete time points.
GPU implementation of Harmony, a unified framework for data visualization, analysis, and interpretation of scRNA-seq data measured across discrete time points.
GPU implementation of Harmony, a unified framework for data visualization, analysis, and interpretation of scRNA-seq data measured across discrete time points.
“GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.”
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
“GitHub's endless plug-ins, beautiful UI, and optimized workflows make devs happy. Happy and empowered engineers write the best code, make better decisions, and have more time to innovate.”
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Claim Harmony-GPUAnthropic's Claude Opus 5 model is now available within GitHub Copilot. The integration supports complex, multi-step coding tasks, autonomous code changes, and regression verification. The model includes enhanced safety features for cyber-content and is available to Copilot Pro+, Max, Business, and Enterprise users.
GitHub has introduced a new workflow for GitHub Mobile that allows users to address failing CI/CD checks using the Copilot coding agent. When an action fails, users can select 'Fix with Copilot' directly from the mobile app. The agent then analyzes the failure, generates a new pull request with a proposed fix, and notifies the user for review. This feature is available on the latest production builds for iOS and Android.
The GitHub Model Context Protocol (MCP) Server has been updated to support the upcoming stateless MCP specification, scheduled for release on July 28, 2026. This update removes Redis sessions and streamlines the connection handshake, allowing for faster and more scalable MCP deployments. The server has been optimized to handle elicitation and logging without requiring deep packet inspection of request payloads, improving both performance and security.
GitHub has launched the Copilot cloud agent for Linear, allowing teams to assign issues to the AI agent. The agent analyzes issues, creates draft pull requests, executes in ephemeral GitHub Actions environments, and updates the Linear timeline. Administrative controls for models, custom agents, and branch targeting are included. The integration requires the GitHub Copilot for Linear app from the GitHub Marketplace.
