
GitHub has launched a new Copilot metrics impact dashboard aimed at enterprise administrators and organization owners. The dashboard provides a detailed analysis of Copilot usage, categorizing users into different AI adoption phases and offering insights into engagement and productivity. It includes metrics such as average pull requests merged per user and median merge velocity, helping organizations understand and enhance their Copilot adoption. This tool is designed to help enterprises optimize their use of Copilot, potentially leading to increased efficiency and deeper integration of AI tools.
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© GitHub ChangelogGitHub Copilot has integrated Google's Gemini 3.6 Flash model, enhancing its capabilities for web and app development. This new model offers improved task completion rates and token efficiency compared to its predecessor, Gemini 3.5 Flash. Users can now leverage configurable reasoning and parallel tool use for complex workflows, making it a powerful tool for developers. Available to various Copilot subscription tiers, this rollout signifies a step forward in AI-assisted coding, though it requires administrators to enable it in enterprise settings.
© GitHub ChangelogThe latest update to Claude Code, version 2.1.214, brings a host of fixes and enhancements aimed at improving security and functionality. Notably, it addresses permission-check bypasses in Windows PowerShell and enhances Bash permission checks to handle complex commands more securely. The update also introduces the EndConversation tool, allowing Claude to terminate sessions with abusive users, and adds new logging attributes for better message-level correlation. These changes make the platform more robust and user-friendly, particularly for developers working in complex environments.
© Matt WolfeClaude Code has launched a new browser feature to enhance user experience.
GitHub has enhanced its billing interface by allowing users to manage AI credit pools directly within the UI for Copilot Business and Enterprise users. This update simplifies the process, which previously required using the GitHub REST API, by automatically calculating pool limits based on assigned licenses. Users can now easily toggle AI credit pools and decide whether to block usage or allow overages when limits are reached. This change ensures cost centers stay within their funded AI credits, providing a more intuitive and controlled billing experience.