Open source component of the Phenix project to advance automation of macromolecular structure determination. Useful for small-molecule crystallography and general scientific applications.
Open source component of the Phenix project to advance automation of macromolecular structure determination. Useful for small-molecule crystallography and general scientific applications.
Open source reusable library for crystallographic and general scientific computing.
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Claim Computational Crystallography ToolboxGitHub has integrated Anthropic's Claude Opus 5 model into GitHub Copilot. The model is optimized for complex, multi-step coding tasks such as autonomous code changes and regression verification. It features enhanced cybersecurity safeguards and is available to Copilot Pro+, Max, Business, and Enterprise users across various platforms, including Visual Studio Code, JetBrains, and GitHub Mobile.
GitHub has introduced a new feature for GitHub Mobile that allows users to address failed GitHub Actions checks using the Copilot cloud agent. Users can select 'Fix with Copilot' from a failed check, prompting the agent to analyze the error, implement a fix, and generate a new pull request for review. This workflow is now available on current production builds for iOS and Android.
The GitHub Model Context Protocol (MCP) Server has been updated to support the upcoming stateless MCP specification ahead of its official release on July 28, 2026. Key improvements include the removal of Redis sessions and legacy initialization procedures, enhanced scalability, and updated elicitation implementations. The server continues to utilize the official Go SDK, ensuring backward compatibility while enabling faster connections and parallel handshake capabilities.
GitHub Copilot cloud agent is now generally available for Linear. The integration allows users to assign Linear issues to the Copilot agent, which then autonomously analyzes the issue, opens a draft pull request using GitHub Actions, and provides progress updates within the Linear activity timeline. Users can configure model selection, branch targeting, and custom agent instructions directly from their Linear workspace.
