Create an AI agent in Claude Code to automatically review aging pull requests, prompt your team for action via Slack, and even fix issues autonomously. This routine helps engineering teams ship code faster and reduce manual follow-up.
In Claude Code, navigate to the 'Routines' section and create a new one. Name it something descriptive, like 'daily aging PR review', and set the schedule to run daily at a specific time.
Write a detailed prompt that acts as a job description for the agent. Instruct it to check for PRs older than 12 hours, determine merge readiness, and define what to do if it can fix things itself (spin up a sub-agent) versus when it needs human help (send a Slack notification).
Look at the prs open on the chat PRD app app. If there are any prs open more than 12 hours. Please review their merge readiness. If there is anything that you can babysit, spin up a thread to babysit that PR until all merge checks are green. Otherwise send a slack in the product channel to the team about the open prs that are ready for approval and merge be mean when you send the slack.Once the routine is configured with its schedule and prompt, activate it. The agent will now run autonomously every day, using its connected GitHub and Slack tools to manage pull requests without any further manual intervention.
Automate the process of verifying and patching security bugs found by an AI agent. This workflow uses a verifier sub-agent and a patching agent to propose and test fixes, with a human expert in the final review loop.
Create an LLM-powered 'judge' to score and prioritize files in a large codebase for security analysis. This workflow helps focus expensive bug-hunting efforts on the most high-risk areas.
Create a custom AI agent that relentlessly hunts for security vulnerabilities in your codebase. This system uses a large language model with specific tools to find, test, and prove the existence of bugs.
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