An AI agent on GitHub should primarily have read access to repositories, enabling it to analyze codebases, issues, and pull requests for context and understanding. For active contributions, it requires write access to create new branches, commit code, and propose changes via pull requests. Essential permissions also include the ability to create, comment on, and close issues and pull requests, facilitating seamless integration into development workflows. Furthermore, the agent might need permissions to request reviews and, under strict human oversight, potentially merge approved pull requests for automated processes. Critically, administrative permissions and direct control over sensitive repository settings should be strictly limited or entirely withheld to uphold the principle of least privilege. Therefore, an AI agent's permissions should mirror those of a contributor, focusing on code contribution and collaborative tasks rather than repository governance. More details: https://www.1sold.com/mobile/api/device.php?uri=https://infoguide.com.ua