New! Cross-repo review, mined rules, and skill governance
→ See it in action
The ai code governance platform

The layer between “AI wrote it” and production.

Maintain code quality, enforce standards, and govern code at AI velocity. Qodo is the AI Code Governance Platform.

Govern code
at the pace AI writes it.

Qodo provides a unified system for code review that enforces your standards and drives continuous quality at scale.

quality

Catch issues before they compound

Review capacity hasn’t scaled with AI-driven code volume. Qodo runs multi-agent code review across the SDLC, surfacing real issues with full codebase context and less noise.

control

Enforce standards consistently

Conventions in wikis can’t be enforced at AI velocity. Qodo applies your standards across every team, repo, and change.

visibility

See where risk lives

Leaders can’t see where standards are decaying. Qodo gives centralized visibility into quality, compliance, and rule adoption.

The platform

High-precision review for developers.
Centralized governance for leaders.

One platform. Two surfaces – for the engineers writing the code, and the leaders responsible for what ships.

review across the sdlc

Quality gateways across the SDLC

High-precision reviews with specialized agents that reason over full organizational and codebase context. Real issues, less noise.

  • Pull request review

    Agentic suggestions, issue findings, persona-specific reviews.

  • Pre-PR review

    Local code review in the IDE before you commit.

  • Review skills

    Structured fixes with evidence and clear explanations.

Code review and governance across the SDLC

Operationalize code quality and governance wherever code is written, reviewed, and shipped.

Multi-agent issue finding

High-precision detection of bugs, rule violations, and requirement gaps.

Cross-repo conflict detection

Identify breaking changes and downstream impact across repos.

Context-aware feedback

Full repo context, PR history, and standards.

PR-native workflow

Reviews, suggestions, chat, and fixes inside Git.

The wisdom behind 
every review

Four foundational pillars work together as the wisdom base for governance at IA velocity.

Context Engine

A unified, evolving understanding of how an organization writes, reviews, and governs code gathered from every relevant data source.

Rules and Skills System

Codifies tribal knowledge from wikis, design systems, and review history into a self-learning, enforceable rule system.

Multi-agent System

Specialized agents for bug finding, rule enforcement, and cross-repo analysis. Depth a single generalist agent can’t match.

Continuous Learning

Every review becomes knowledge the system carries forward. Reviewer feedback shapes future suggestions.