
GitHub has updated its Copilot usage metrics API to include a new field that reports AI credits consumed per user. This feature allows enterprise administrators and organization owners to track AI credit usage alongside existing metrics, offering insights into Copilot's adoption and value across teams. The new field is available in both single-day and 28-day user-level reports, helping organizations plan for usage-based billing. While it provides an overall consumption total, it does not break down credits by specific features or models.
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© GitHub ChangelogMicrosoft's MAI-Code-1-Flash, a compact coding model, is now accessible across a wider range of GitHub Copilot platforms, including Visual Studio, JetBrains IDEs, and Xcode. This model is specifically optimized for GitHub Copilot, promising superior performance compared to other small models. Initially available to a limited user base, it will gradually roll out to more users, with plans to extend access to Copilot Business and Enterprise soon. This expansion enhances the versatility of GitHub Copilot, making advanced coding assistance more widely available.
© GitHub ChangelogGitHub's Copilot code review now integrates AGENTS.md files, enabling developers to customize feedback according to their repository's unique standards. This enhancement allows Copilot to automatically apply instructions from AGENTS.md, resulting in more context-sensitive reviews. The introduction of a Request button for draft pull requests simplifies the process of engaging Copilot's input, reducing the steps needed for developers. These improvements are designed to make code reviews more effective and aligned with the specific guidelines of each project.
© GitHub ChangelogGitHub has introduced a public preview feature aimed at reducing the time maintainers spend on triaging duplicate issues. This new tool flags potential duplicate issues during the creation process, offering up to three suggestions inline to help users identify existing reports. Additionally, AI tools connected to the GitHub MCP server can now interact with issue fields, allowing for automated triaging and filtering based on various criteria. This development promises to streamline issue management for large repositories, potentially saving maintainers significant time and effort.
The latest update to Claude Code, v2.1.183, introduces significant safety improvements for developers using auto mode. Destructive git commands are now blocked unless explicitly requested, preventing accidental data loss. Additionally, the update provides warnings for deprecated models and enhances configuration management with new command options. These changes aim to streamline the development process while ensuring a safer and more reliable coding environment. Developers can now work with greater confidence, knowing that potentially harmful actions are more controlled.
© FireshipSQLite, renowned for its reliability, has been reimagined in Rust under the name Turso. This new iteration not only maintains the trusted functionality of SQLite but also introduces unique features that set it apart. The use of Rust, known for its safety and performance, suggests potential improvements in security and efficiency. This development could influence how developers approach database management, offering a modern alternative to a classic tool. Turso represents a significant evolution in the landscape of lightweight databases, potentially reshaping expectations for performance and safety.
The latest update to Claude Code, version 2.1.173, addresses two notable issues that were affecting users. The update normalizes Fable 5 model names by automatically stripping the [1m] suffix, which was redundant since Fable 5 already includes a 1M context by default. Additionally, it resolves a misleading startup warning on Windows about missing sandbox dependencies when the sandbox feature was enabled. These fixes enhance the user experience by eliminating unnecessary confusion and ensuring smoother operation.