steward.foo vs CodeRabbit
CodeRabbit is a sharp, general reviewer — it checks the code-quality fundamentals that apply to almost any codebase. A steward works the other way around: each one owns a single dimension of quality across your whole codebase — the things specific to your app, like accessibility, billing correctness, analytics hygiene, SOC 2 readiness, or the conventions only your team can name. Assemble a fleet of stewards and you’ve built your own review engine, tuned to what actually matters in your product — coverage no general reviewer is designed to give.
Now that agents write the code and filter the queue, noise is cheap to discard and the only cost left is the miss — so what matters is coverage, not precision. And coverage doesn’t come from one bigger reviewer; it comes from many narrow owners, each missing nothing on its own dimension. That’s why you want a fleet. And a steward doesn’t stop at a comment — it keeps a running backlog of fixes you clear autonomously in your coding agent. CodeRabbit makes the whole diff a little sharper; a fleet of stewards makes sure the dimensions you care about most never slip.
CodeRabbit is a strong line-by-line reviewer for the whole diff. A steward is an owner: each one takes a single dimension of quality and optimizes for missing nothing on it — so a fleet of stewards covers the priorities specific to your app.
| Dimension | steward.foo | CodeRabbit |
|---|---|---|
| Mental model | An owner for one dimension of quality | A reviewer for every pull request |
| Primary output | A running backlog of fixes you clear in your coding agent | Inline comments, summaries, and suggestions |
| Optimizes for | Missing nothing on its domain | Precision and signal across the diff |
| Scope per unit | One narrow domain — auth, billing, SOC 2 readiness | The whole pull request, generally |
| What it can own | Any dimension you declare — accessibility, product analytics, your conventions | General correctness, the same lens on every codebase |
| Context over time | Long-running, accumulates context across every PR | Reviews each PR as it arrives |
| Built for | Teams whose agents already write the code | Human and agent code review |
| How it scales | Add stewards as missions, from one repo to a fleet | Tunable rules and review depth |
Reach for CodeRabbit when you want a reviewer
CodeRabbit reads every pull request and leaves sharp, line-by-line feedback — summaries, inline comments, and suggestions that keep a human or agent honest on the diff in front of them. It is review, done well, across the whole PR.
Reach for a steward when you want an owner
A steward owns one mission — event reliability, SOC 2 readiness, billing correctness, accessibility — across every PR, forever, including the dimensions no off-the-shelf reviewer can name, because you declare what matters in your repo. When something is missing, it doesn't just comment: it writes the code and opens the follow-up PR. You don't install one steward; you build a fleet, one mission at a time.
When a team ran four leading AI reviewers — CodeRabbit among them — across the same 146 merged PRs for three weeks, their findings barely overlapped. Coverage comes from narrow owners, not one bigger model. (dev.to benchmark, 2026)
93.4%
of flagged lines were caught by exactly one of four reviewers
0
lines all four reviewers ever agreed on, across 146 PRs
146 PRs
3 weeks, 4 leading reviewers running in parallel
Stewards review your PRs from day one — that runs on the GitHub App, so it works no matter which coding agent you use. The in-editor commands (define a steward, clear the backlog) are richest in Claude Code today.
Plugin, MCP auth, and the steward skills. Paste this; it does the rest.
Set up steward.foo for this repository.
Run `/plugin marketplace add contextgraph/claude-code-plugin`, then `/plugin install steward`, then `/mcp` and sign in to mcp.steward.foo when prompted.
Then run `/steward:define-steward` to define my first steward.Connect now and get full PR review today. In-editor commands are on the way.
{
"mcpServers": {
"steward": {
"url": "https://mcp.steward.foo"
}
}
}Complete the browser sign-in, install the GitHub App, and your stewards start reviewing PRs. To define a steward before in-editor commands land, ask your agent to use the steward MCP tools directly.
Already running across 75 repos in active alpha — 300+ stewards deployed, dogfooded on our own codebase at 50–60 PRs a day. Install the GitHub App, point your first steward at one dimension, and start clearing its backlog of fixes in your coding agent.