
GitHub has announced that its Agentic Workflows can now utilize the built-in GITHUB_TOKEN from GitHub Actions, removing the need for personal access tokens. This update reduces security risks and simplifies token management for developers. Organizations can directly bill AI credits consumed by these workflows, bypassing user-level budgets. The feature is available across all Copilot plans, enhancing workflow management and cost control for developers and organizations alike.
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© 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 ChangelogThe 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.
© Matt WolfeGitHub has launched a new Copilot app allowing users to choose any AI model provider.
GitHub 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.