Documentation

Overview

Ravi isn't just a code reviewer. It's an architect on your team.

Most AI code reviewers analyze code in isolation. They're "linters on steroids," good for catching patterns but lacking depth. Ravi is different. By understanding your codebase holistically, including architecture, security, performance, and maintainability, Ravi reviews code the way a senior architect would: with full system context.

Why Ravi is Different

The Problem with Code-Only Reviews

When a senior architect reviews code, they don't just read the diff. They think about the system holistically: How does this change affect security? What are the performance implications? Does this maintain architectural consistency? What's the blast radius if this fails?

Generic AI code reviewers can't answer these questions because they only see the code in front of them. They miss the broader context of how changes interact with your system's architecture, dependencies, and production realities.

That's why they work like linters, not peers.

How Ravi Works Like an Architect

Ravi analyzes your codebase holistically to understand system-wide implications:

Architectural awareness: Understands how changes fit into your system's overall design
Security context: Identifies vulnerabilities and security risks across the codebase
Performance implications: Flags issues that could impact system performance at scale
Code quality: Ensures maintainability, consistency, and best practices
Risk assessment: Evaluates the potential impact of changes on production systems

This is what makes Ravi work like a true peer: providing architectural feedback that considers the entire system, not just isolated code patterns.

Setup

Get started with Ravi in one simple step:

Install Ravi on GitHub

Install the Ravi GitHub App on your organization or repositories. This allows Ravi to analyze pull requests and post review comments automatically.

Go to Dashboard

How It Works

Once configured, Ravi's workflow is automatic:

PR Created: GitHub sends a webhook when a pull request is opened or updated
Code Analysis: Ravi analyzes the code changes using AI
AI Review: An AI model analyzes the code to identify issues
Feedback Posted: Ravi posts review comments on your pull request

What Ravi Looks For

Ravi provides holistic code review across multiple dimensions: security vulnerabilities, performance issues, architectural consistency, code quality, and maintainability. It identifies risks that could impact your production system, from SQL injection vulnerabilities to N+1 query patterns to architectural violations.

Need Help?

If you encounter issues, contact our support team at team@ravi.app