steward.foo vs CodeRabbit
CodeRabbit is an established AI code reviewer that reads pull requests and leaves comments, summaries and suggestions. Steward is built around a different unit: yes/no questions your team writes, scored on every pull request and push to main, with checked findings tracked in the PR thread until they are fixed or dismissed.
They can complement each other. We have not benchmarked the two against each other, and this page does not claim one is better. See CodeRabbit’s own documentation for what it does today.
The two start from different places. This compares approaches, not quality.
| Dimension | steward.foo | CodeRabbit |
|---|---|---|
| Unit of review | Your team’s yes/no questions, grouped by context | The diff, through a general review lens |
| Where standards come from | You write them as questions | Built-in review plus the configuration it offers |
| Output | Findings with file and line evidence in the PR thread | Review comments, summaries and suggestions |
| Cutting false alarms | Low scores become candidate concerns; a check against the code drops false alarms | Its own filtering; see its documentation |
| Blocking | Flag-first; only hard-limit questions can block | Depends on how it is configured |
| Getting started | GitHub App, MCP connection, one human click on a short code; shadow scoring first | See its documentation |
Reach for CodeRabbit when you want a general reviewer
It reads each pull request and leaves feedback on the change in front of it, a sensible default lens for most codebases.
Reach for Steward when your standards are specific
If you can state what matters as yes/no questions, like whether every new interactive element works by keyboard, Steward checks them on every pull request and push to main, and keeps each concern open in the PR thread until it is fixed or dismissed.
One GitHub App install and one human click to confirm a short code. Scoring starts in shadow mode, so nothing is posted to your PRs while it calibrates.