LaReview

The Code Review
Workbench.

Turn code changes into a clear review plan and high-signal feedback, without comment spam. Works with your existing AI coding agent.

LICENSE: MIT / APACHE 2.0

BUILT WITH FUN

Supported AI Coding Agents
Claude
Claude
Codex
Codex
Gemini
Gemini
Kimi
Kimi
Mistral
Mistral
OpenCode
OpenCode
Qwen
Qwen

Not Another Bot.

Most AI tools are bots that post comment spam.

LaReview is a reviewer-first workbench. We help you understand the change, plan your review, and ship feedback that matters.

  • Plan First vs Comment Dump
  • Flow-Based Review vs File-by-File
  • Zero Data Leaks vs Cloud Data Leaks

The Workbench Philosophy

"Merge confidence, not just merge speed."

Senior engineers know that catching a bug is good, but understanding the system impact is better. LaReview is designed for the deep dive.

Features

01

AI-Powered Planning

Input a PR (GitHub/GitLab) or diff. LaReview acts as a staff engineer, looking for flows and hazards to build a structured review plan.

LaReview's AI planning interface showing a generated review checklist
02

Task-Focused Review

See all your review tasks at a glance, grouped by flow and ordered by risk. Track progress, view feedback items, and navigate the change with a files heatmap.

Task-focused review view with tasks grouped by flow and files heatmap
03

High-Signal Framework

The AI proactively identifies bugs and authenticates them against your rules. No comment spam, just focused feedback threads anchored to specific lines.

AI feedback threads anchored to specific lines of code for contextual review
04

Custom Rules

Define rules like "DB queries must have timeouts" or "API changes need a migration note" to enforce standards automatically.

Rules configuration interface for defining custom standards
05

Local Context

Link local Git repos to give the agent full access to search your codebase without upload. Works with your existing AI coding agent.

Repository linking interface providing local context for deeper code insights
06

Git Host Sync

Submit your review feedback directly to GitHub/GitLab PRs with automatic summary generation.

GitHub PR review submission with auto-generated summary and feedback threads
07

Visual Diagrams

Visualize the flow. Automatically generate diagrams to see architectural changes before you read a single line of code.

Visual diagram showing code architecture and flow changes
08

Learning Patterns

The AI learns from rejected feedback. Mark suggestions as "ignored" during reviews, then analyze rejections to discover patterns that calibrate future reviews—fewer nitpicks, more signal.

Learning patterns view showing rejection analysis
09

CLI Support

Launch reviews directly from your terminal. Load PRs or pipe a git diff

$ lareview
$ lareview pr owner/repo#123
$ git diff | lareview
$ lareview --agent claude

Workflow

INPUT

Input

Paste a unified diff or a GitHub/GitLab PR URL (e.g., owner/repo#123).

FETCH

Fetch

LaReview fetches data locally via the GitHub/GitLab CLI (`gh`/`glab`). No intermediate servers.

GENERATE

Generate

Your chosen AI coding agent (opencode, claude code, codex, etc.) analyzes intent and builds a task tree.

REVIEW

Review

Execute the plan. Add notes, track status, and export to Markdown.

PUSH

Push

Submit your review directly to GitHub or GitLab with auto-generated summaries.

Start Reviewing

Local-first. Free. Open Source.

$ brew install --cask puemos/tap/lareview
Copied to clipboard!
or download binary
Pipe from git: git diff | lareview