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GitHub has released a public preview of agent automation controls for GitHub Issues. These new capabilities allow AI agents to suggest or apply changes to GitHub Issues directly. Users can review these automated suggestions before they are implemented, or configure them to apply automatically based on defined confidence levels.
GitHub has launched the GitHub Copilot CLI, a terminal-native AI agent developer tool. It supports autonomous workflows, parallelized subagents through a '/fleet' command, and integration with the Model Context Protocol (MCP) to interact with issues and pull requests. The tool is compatible with macOS, Linux, and Windows and is included in all GitHub Copilot subscription plans. It allows developers to switch between multiple foundation models, including those from Anthropic, Google, and OpenAI, directly within the terminal.
GitHub has integrated Anthropic's Claude Opus 5 model into GitHub Copilot. The model is specifically optimized for agentic coding workflows, such as autonomous code changes and regression verification, and features enhanced security safeguards. Access is available to users on Copilot Pro+, Max, Business, and Enterprise plans across various GitHub surfaces including Visual Studio Code, GitHub Mobile, and the Copilot CLI. Usage is billed according to provider API list prices, and organization administrators must enable the policy for access.
GitHub has introduced multi-select fields for Projects and Issues in public preview. This feature allows users to assign multiple values to a single field, facilitating more flexible categorization by enabling items to relate to multiple teams, modules, or categories simultaneously. Users can configure these fields via the system sidebar and apply filters based on multiple selections to project views.
GitHub has expanded the capabilities of the Copilot coding agent within the GitHub Mobile app on iOS and Android. Users can now trigger a 'Fix with Copilot' action directly from failed GitHub Actions checks. The tool analyzes the error, implements a fix in a new pull request, and assigns the user for review, enabling a one-tap workflow for resolving CI failures while mobile.