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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.

What is Earthly Lunar?

Earthly Lunar helps platform and engineering leaders keep software delivery consistent as teams, repositories, and AI-assisted code volume grow. Instead of asking each team to maintain its own checklist or CI template, Lunar collects development lifecycle signals centrally from repositories and CI/CD systems. It creates a structured picture of each service's tests, dependencies, build and deployment practices, then evaluates organization-wide engineering guardrails against that picture. Leaders can see which standards are being followed, where exceptions appear, and how adoption changes across teams. Platform teams can start with monitoring, add pull request feedback, and graduate selected rules to blocking enforcement. Prebuilt and custom guardrails cover testing, quality, operational readiness, infrastructure, and compliance requirements. This approach gives teams flexibility in their tools while applying the same expectations to human-written and AI-generated code. The resulting enforcement history also supports audit preparation and post-incident follow-through.

Media

Media

Integrations Supported

Claude Code
Cursor
Model Context Protocol (MCP)
Replit

Integrations Supported

Claude Code
Cursor
Argo CD
CodeRabbit
Codecov
GitHub
Grafana Cloud
HTML
Helm
JavaScript
Jira
Kotlin
Linear
PagerDuty
Slack
Snyk
SonarQube Cloud
Terraform

API Availability

API Availability

Has API

Pricing Information

$199/month
Free Version

Pricing Information

Contact Earthly to discuss your requirements and receive current pricing for Lunar.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Quality Clouds

Date Founded

1986

Company Location

United Kingdom

Company Website

qualityclouds.ai/norma

Company Facts

Organization Name

Earthly Lunar

Date Founded

2020

Company Location

United States

Company Website

earthly.dev/

Categories and Features

AI Code Review

Not specified

AI Governance

Not specified

Categories and Features

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