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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

Ml.ai serves as an AI coding assistant that follows your code wherever it may be. You can utilize it within environments like VS Code and Cursor, through its dedicated desktop application without the need for an IDE, by accessing it via the terminal, or as a pull request reviewer that evaluates each submission. Every interface operates using the same underlying technology, maintaining consistent settings and a unified memory of your repository. Unlike many coding agents that rely on a single costly frontier model for every action, Ml.ai assigns specific tasks to specialized agents, selecting the most cost-effective model that meets your desired quality standards, often resulting in a reduction of model expenses by 30 to 45% for similar tasks. Its Explore feature reads and interprets the codebase, while Architect and Plan organize the project files, sequence tasks, and assess potential trade-offs. Only the General agent has the authority to make code alterations, ensuring that every change or command is subject to your explicit permission to Allow or Deny. The PR Reviewer not only provides a summary of each pull request but also adds detailed comments at the line level and executes builds and tests before suggesting either approval or requests for changes, without the ability to merge independently. Additionally, Ml.ai offers reusable skills, supports background operations, and includes MCP server functionality, enhancing its overall utility.

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

Visual Studio Code Yes 
Alibaba Cloud No 
Anthropic No 
C No 
C++ No 
Cursor Yes 
DeepSeek No 
Git No 
Go No 
Java No 
Kotlin No 
Model Context Protocol (MCP) No 
OpenAI No 
Python No 
Rust No 
SQL No 
Solidity No 
Swift No 
TypeScript No 
Z.ai No 

Integrations

Visual Studio Code Yes 
Alibaba Cloud Yes 
Anthropic Yes 
C Yes 
C++ Yes 
Cursor No 
DeepSeek Yes 
Git Yes 
Go Yes 
Java Yes 
Kotlin Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
Python Yes 
Rust Yes 
SQL Yes 
Solidity Yes 
Swift Yes 
TypeScript Yes 
Z.ai Yes 

Pricing Details

No price information available.
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 Yes 
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 No 

Customer Support

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

Types of Training

Training Docs No 
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

Pixis.ai

Country

United States

Website

ml.ai/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

open-codereview.ai/

Product Features

Product Features

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