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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

LaReview is an innovative, open-source code review platform that emphasizes local-first functionality, aimed at turning pull requests and code diffs into organized, high-quality review processes that enhance comprehension while minimizing distractions. By accepting a GitHub or GitLab pull request or a raw diff as input, it employs AI coding agents to craft a structured review strategy that categorizes modifications based on workflows, potential risks, and developer intentions. This method enables developers to evaluate code in a thoughtful and systematic manner instead of merely browsing through files. LaReview adopts a reviewer-centric methodology, allowing engineers to effectively plan their assessments prior to providing feedback, and it seeks to generate constructive comments that offer substantial value rather than overwhelming reviewers with excessive low-impact remarks. The platform features AI-driven planning capabilities that scrutinize code similarly to a senior engineer, pinpointing potential issues and generating organized checklists, in addition to task-oriented review interfaces that coordinate tasks by logical sequences and underscore risks through tools such as file heatmaps. In doing so, LaReview not only streamlines the code review process but also fosters a culture of insightful and impactful feedback among development teams.

Description

Open Code Review is a command-line interface for code evaluation powered by artificial intelligence, originating from Alibaba's robust internal code review tool and tested through millions of practical applications. It analyzes Git diffs, communicates with a configurable language model via an agent capable of utilizing various tools, and produces organized review feedback with exact line references. Instead of limiting itself to the visible differences, the agent has the ability to access entire files, browse the codebase, examine related modifications, and cross-check context, which allows it to identify more significant issues. Its hybrid structure distinguishes between deterministic engineering functions—such as filtering files, dividing tasks, routing rules, scheduling, and positioning lines—and the reasoning of the language model for detecting risks, exploring context, and classifying problems. Additionally, a specialized reflection module is included to catch any inaccuracies or knowledge gaps before the feedback is delivered. Users can modify the review depth, adjusting it from minimal to extensive based on their need for either rapid assessments or comprehensive evaluations. This flexibility ensures that developers can tailor the review process to their specific project demands.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Git Yes 
Anthropic No 
C No 
C++ No 
Claude Code Yes 
DeepSeek No 
GitLab Yes 
Kotlin No 
Markdown Yes 
Mistral AI Yes 
Model Context Protocol (MCP) No 
OpenAI No 
OpenCode Yes 
Python No 
Qwen Yes 
Rust No 
Solidity No 
Swift No 
Visual Studio Code No 
Z.ai No 

Integrations

Git Yes 
Anthropic Yes 
C Yes 
C++ Yes 
Claude Code No 
DeepSeek Yes 
GitLab No 
Kotlin Yes 
Markdown No 
Mistral AI No 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
OpenCode No 
Python Yes 
Qwen No 
Rust Yes 
Solidity Yes 
Swift Yes 
Visual Studio Code Yes 
Z.ai Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

LaReview

Country

United States

Website

lareview.dev/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

open-codereview.ai/

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Product Features

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