A rewrite of the pomegranate library using PyTorch as the backend, implementing probabilistic models with modular composition.
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GitHub has launched the Copilot CLI, a terminal-native tool designed for multi-agent workflows and autonomous task execution. The CLI integrates with the Model Context Protocol (MCP) and supports models from various providers including Anthropic, Google, and OpenAI. Key features include `/fleet` for parallel subagent execution, `/plan` for workflow outlining, and support for session persistence. The CLI is included in all GitHub Copilot subscription tiers.
Anthropic's Claude Opus 5 model is now integrated into GitHub Copilot. The model is optimized for complex coding tasks such as autonomous code changes and regression verification, featuring enhanced cyber-content safeguards. It is accessible to users with Copilot Pro+, Max, Business, and Enterprise plans across various interfaces including VS Code, GitHub Mobile, and the Copilot CLI. Administrators of business plans must manually enable the policy to grant access.
GitHub Mobile now enables users to address failed CI/CD checks using the Copilot coding agent. Upon selecting 'Fix with Copilot' from a failed GitHub Actions check on a pull request, the agent analyzes the failure and attempts to implement a patch in a new pull request. This utility is now available on the latest production iOS and Android builds of GitHub Mobile.
GitHub has moved the Copilot cloud agent integration for Linear to general availability. Users can assign Linear issues to the Copilot agent, which then analyzes the content, creates draft pull requests, and provides status updates directly within the Linear activity timeline. The integration allows teams to specify preferred models, custom agents, and target branches for automated tasks. It is available to users with Copilot Pro, Pro+, Business, and Enterprise subscriptions.