Markdown-defined rules let an AI agent auto-review code before PR
This workflow adds an AI agent into a development pipeline to automatically review code before it reaches the pull-request stage. The core idea is writing review criteria and into a markdown file, then feeding that file to a dedicated reviewing agent so it checks code against those exact rules. The goal is to catch issues earlier and more consistently than manual review, cutting down effort while integrating the check early in the pipeline.
The workflow is rated 75 out of 100 for value, 70 for freshness, with a 0.90 , and is classified as advanced difficulty. It falls under categories like quality control, context and , debugging, and s.
Key points
- An AI agent automatically reviews code before it reaches the pull-request stage
- Review criteria and are defined in a markdown file and handed to the agent
- Goal is higher consistency and less manual effort than traditional review
- Falls under quality control, context/memory, debugging, and categories
- Rated as advanced difficulty