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What is Revix AI?

Revix AI is a cloud-based platform that facilitates AI-driven code reviews specifically designed for software engineering teams. It effortlessly connects with repositories on platforms such as GitHub, GitLab.com, or Bitbucket Cloud, assessing the existing code to create adjustable review guidelines that reflect a team’s unique coding conventions. Each time a pull or merge request is made, the system scrutinizes the changes against the pre-defined rules, offering inline comments that explain the detected issues and reference the applicable guidelines, along with a concise summary of the alterations made. Teams can easily review, edit, and customize the generated rules, choose which repositories to engage with, and incorporate Revix into their existing source control workflows without the need for an additional continuous integration job. This service is designed for a wide range of users, including developers, tech leads, engineering managers, and other stakeholders responsible for maintaining code quality during software modification reviews, including those changes produced by AI coding assistants. Additionally, Revix’s Pro plan features integrations with tools like Jira and Slack, while also providing a completely free plan for public repositories, making it accessible for all kinds of projects. By supporting teams in upholding stringent standards in code reviews, Revix AI not only fosters collaboration but also significantly improves the quality assurance processes within software development operations, ultimately leading to better software products. This commitment to quality and collaboration sets Revix AI apart in the landscape of code review tools.

What is Norma?

Norma systematically verifies code generated by AI against a defined set of guidelines, consistently yielding the same results. This verification takes place in two separate environments: Livecheck, which evaluates individual files or code snippets upon requests from editors like Cursor, Claude Code, Windsurf, or VS Code, and Full Scan, which performs an exhaustive examination of an entire GitHub or Bitbucket repository, discerning the technology stack and frameworks even when a configuration file is missing, all while prioritizing issues based on their severity and offering essential context for resolution. The rules are evaluated through static analysis, ensuring consistent results across multiple runs. These guidelines are based on SOLID design principles and specific conventions for diverse technology stacks, with the capability to deactivate those that do not apply. The system's coverage spans various programming languages and frameworks, including JavaScript, TypeScript, Python, PHP, Java, Node, React, and Supabase. Furthermore, the MCP server offers a variety of features, including link_repository, get_rulesets, get_rules_for_ruleset, live_check, get_open_issues, and register_applied_actions, all protected by OAuth and cataloged on the Official MCP Registry. This comprehensive framework empowers developers to uphold high code quality while easily adapting to the unique requirements of different projects, leading to improved collaboration and efficiency. Ultimately, such a structured approach fosters a more reliable coding environment.

Media

Media

Integrations Supported

Bitbucket
GitHub
GitLab
Jira
Slack

Integrations Supported

Claude Code
Cursor
Lovable
Model Context Protocol (MCP)
Replit

API Availability

API Availability

Pricing Information

€20/seat/month
Starter is €25 per seat/month with monthly billing, or €20 per seat/month billed annually. Pro is €50 per seat/month with monthly billing, or €40 per seat/month billed annually. Enterprise pricing is custom under an annual contract. The Open Source plan is free for public repositories. Plans include a 14-day free trial with no credit card required.
Free Version
Free Trial Offered?

Pricing Information

$199/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Revix AI

Date Founded

2026

Company Location

Spain

Company Website

www.revix.ai/

Company Facts

Organization Name

Quality Clouds

Date Founded

1986

Company Location

United Kingdom

Company Website

qualityclouds.ai/norma

Categories and Features

AI Code Review

Not specified

Code Review

Not specified

Categories and Features

AI Code Review

Not specified

AI Governance

Not specified

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