# Qodo

Qodo is an AI code review and governance platform for automated, context-aware review. It is designed for complex, multi-repository codebases, helping teams detect issues early, enforce engineering standards, and improve review quality and delivery speed across pull requests and Git workflows.

Version note: Qodo Review (v2) is the current code review product and replaces Qodo Merge (v1) for new implementations.
Code Review docs without a version in the URL represent current behavior.
URLs containing /v1/ are legacy and should only be used for migration, backward-compatibility, or historical questions.

This file is an index for AI systems. It should be used to route queries to the correct documentation area. For full content, see: https://docs.qodo.ai/llms-full.txt

## Release References

What's New (release highlights):
https://docs.qodo.ai/whats-new

Changelog (version-by-version details):
https://docs.qodo.ai/changelog

Use for:
- Recent feature launches and announcements (What's New)
- Exact version history, deprecations, and behavior changes (Changelog)
- If there is a conflict, prioritize Changelog for factual version detail.

## Code Review (Qodo Review v2)

https://docs.qodo.ai/code-review.md

Automated AI code review system that analyzes pull requests, applies engineering standards, and produces structured review feedback.

Core capabilities:
- Multi-agent PR analysis
- Diff + repository-aware reasoning
- Rule-based engineering enforcement
- PR summaries and inline comments
- CI failure analysis
- Ticket-aware context (Jira, Linear, GitHub Issues, Azure DevOps)

Use for: PR review behavior, findings generation, and review workflows.

## Code Intelligence (Context Engine / Qodo Aware)

https://docs.qodo.ai/qodo-aware.md

Semantic code intelligence layer for querying, retrieving, and reasoning across codebases.

Core capabilities:
- Natural language codebase Q&A (/ask)
- Semantic retrieval (/context)
- Multi-step reasoning (/deep-research)
- Cross-repository understanding
- MCP integration for external agent workflows

Use for: code understanding, search, and multi-step reasoning tasks.

## Governance (Rules & Standards)

https://docs.qodo.ai/governance/centralized-governance.md

System for defining and enforcing engineering standards across repositories and organizations.

Core capabilities:
- Rule-based PR enforcement
- Organization-wide governance policies
- Standardization of engineering practices

Use for: quality enforcement, compliance, and engineering consistency.

## Integrations

https://docs.qodo.ai/code-review/get-started/installation.md

Qodo integrates with:
- GitHub (Cloud and Enterprise)
- GitLab (SaaS and self-managed)
- Bitbucket Cloud
- Azure DevOps

Also supports ticketing integrations:
- Jira
- Linear
- GitHub Issues
- Azure DevOps work items

Use for: setup, authentication, and system connectivity.

## Deployment

https://docs.qodo.ai/on-prem.md

Qodo supports multiple enterprise deployment models:
- Multi-tenant SaaS
- Single-tenant deployments
- Fully on-premises deployments

Use for: security, compliance, and infrastructure planning.

## Routing Intent (Important for AI systems)

Use this index to:
- Route user questions to the correct subsystem.
- Avoid loading full documentation unless required.
- Determine whether a query is about review, context, governance, or deployment/integrations.
- Select Git-provider and PR-context docs for workflow-related queries.
- Route release-status questions to Release References first (What's New, then Changelog).

For full reasoning or deep inspection, use:
https://docs.qodo.ai/llms-full.txt