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roborev

Continuous code review for coding agents. Review commits immediately, catch issues early, and fix them while context is fresh.

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How roborev works

How roborev works

roborev reviews every commit in the background and feeds findings back to your coding agent so the write -> review -> fix loop runs hands-off.

  • Post-commit reviews - every commit is reviewed automatically, with any agent.
  • Agent hook - nudges your CLI agent to fix findings mid-session.
  • Refine before you ship - /roborev-refine re-reviews and fixes your whole branch until every review passes, catching bugs before the PR.

Set up automation ->

Browser UI

Run roborev ui to open the native browser application. Browse and filter the live review queue, inspect review output, prompts, and logs, manage jobs and comments, or switch to Analytics to explore cost, latency, reliability, and review outcomes. The application runs from the local daemon and uses the same SQLite history as the CLI and terminal UI.

Roborev browser application showing the review queue and an open review

Explore the browser UI ->

Terminal UI

Prefer to stay in the terminal? roborev tui provides the same live review ledger with vim-style navigation. On a large terminal, its split-screen layout keeps the queue and selected review visible together.

Roborev TUI split-screen review view

Explore the terminal UI ->

Quick Start

curl -fsSL https://roborev.io/install.sh | bash

Then from within your git repositories:

roborev init          # Install post-commit hook
# do some work, generate commits
roborev tui           # Browse reviews in the terminal UI
roborev ui            # Or browse reviews in the native browser UI

For Windows, see the installation guide.

For LLMs

This docs site publishes source Markdown next to each rendered page. Prefer the .md URL when reading or citing docs programmatically: /changelog.md for /changelog/, /guides/reviewing-code.md for /guides/reviewing-code/, and /index.md for this page.

Why roborev?

AI coding agents write code fast, but they make mistakes. Most review feedback comes too late. The agent has moved on and context is lost. roborev changes this:

  1. Ask your agents to commit often, ideally every turn of work
  2. roborev reviews each commit in the background
  3. Bring review work back into the agent session with agent-hook (--agent droid for Factory Droid) or check the TUI (roborev tui) as findings arrive
  4. Address findings by letting the hook prompt the fix skill, copying reviews into your agent, using /roborev-fix, or running roborev fix

Every commit gets reviewed. Issues surface in seconds, not hours. Open reviews stay in the TUI queue until explicitly addressed and closed, so nothing falls through the cracks.

  • Review Ledger

    Every commit is reviewed automatically via git hooks. Reviews accumulate in a persistent queue that acts as a ledger: nothing is closed until explicitly addressed.

  • Agent-Ready Feedback

    Use agent-hook to prompt Codex, Claude Code, or Droid (--agent droid) to run the fix skill when review work piles up. You can also copy findings into your agent session, use /roborev-fix, or run roborev fix to apply fixes automatically.

  • Code Analysis

    Built-in analysis types (duplication, complexity, refactoring, test fixtures, dead code) that agents can address directly.

  • Multi-Agent

    Works with Codex, Claude Code, Gemini, Copilot, OpenCode, Cursor, Droid, Kilo, Kiro, Pi, and Grok Build. Auto-detects installed agents.

  • Rich Markdown Display

    Reviews render with full Markdown formatting: syntax-highlighted code blocks, headings, lists, and inline styles, right in your terminal.

  • Runs Locally

    No hosted service or additional infrastructure. Reviews are orchestrated on your machine using the coding agents you already have configured.

  • Multi-Machine Sync

    Bi-directionally sync reviews across machines via PostgreSQL.

Architecture

roborev architecture diagram

  • Daemon: HTTP server on port 7373 (auto-finds available port if busy)
  • Workers: Pool of 4 (configurable) parallel review workers
  • Storage: SQLite at ~/.roborev/reviews.db with WAL mode
  • Config: Global at ~/.roborev/config.toml, per-repo at .roborev.toml

Federated Multiplayer

roborev federation diagram

Bi-directionally sync reviews across machines with a shared PostgreSQL database. Each daemon maintains its local SQLite for fast access while syncing changes to the central database.