
GitHub has introduced a new feature in its Copilot app that allows users to select from any AI model provider, rather than being restricted to OpenAI models like Codex. This update significantly enhances flexibility for developers using GitHub Copilot, enabling them to integrate a wider range of AI models into their coding workflows. The app's release marks a notable shift in how developers can leverage AI tools, potentially broadening the scope of AI-assisted coding.
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The latest update to Claude Code, v2.1.172, introduces significant improvements in agent functionality and user experience. Sub-agents can now spawn their own sub-agents up to five levels deep, enhancing automation capabilities. The update also addresses several bugs, such as session handling issues and model picker errors, ensuring smoother operation. Additionally, performance enhancements reduce idle CPU usage and improve tool loading in Chrome. These changes make Claude Code more robust and efficient for developers working with complex agent systems.
© GitHub ChangelogGitHub Enterprise Server 3.21 introduces several enhancements aimed at improving deployment efficiency and code security. Notably, organization custom properties are now available, allowing administrators to tag organizations with metadata for better policy management. The hierarchy view for GitHub Projects provides a clearer view of issue hierarchies, enhancing project management. Additionally, the REST API version 2026-03-10 is now available, with support for older versions continuing for 24 months. These updates make GitHub Enterprise Server more robust and user-friendly for enterprise users.
© GitHub ChangelogGitHub Copilot CLI has introduced a new /settings command, bringing all configuration management into a single, schema-driven interface. This update merges various commands and manual settings edits into one accessible location, allowing users to easily browse and modify settings through a full-screen dialog. The command supports inline changes, resets, and even complex JSON edits with schema validation to prevent errors. This enhancement improves the user experience by providing a unified, intuitive way to manage settings, making configuration more efficient and less error-prone. Users can now manage their settings with greater ease and confidence, knowing that changes are validated and applied live. This development marks a significant step in making configuration management more user-friendly and reliable.