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.
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.
Enforce standards consistently
Conventions in wikis can’t be enforced at AI velocity. Qodo applies your standards across every team, repo, and change.
See where risk lives
Leaders can’t see where standards are decaying. Qodo gives centralized visibility into quality, compliance, and rule adoption.
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.
Quality gateways across the SDLC
High-precision reviews with specialized agents that reason over full organizational and codebase context. Real issues, less noise.
Quality, visibility and control across the org
Govern at scale with a centralized view of where standards are holding, where they’re decaying, and which teams are accumulating risk.
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.
Get Qodo rules skill
Bring rules into agent context while code is being written.
PR resolver skill
Apply fixes through your agent, without switching tools.
Get Qodo rules skill
Catch issues at the earliest checkpoint with review on the local diff
Local review
Review committed and uncommitted changes directly in the IDE.
Auto-discovered rules
Learned from codebase, past reviews, and team behavior.
Rule lifecycle management
Identify conflicting rules, duplicates and standards decay
Enforcement agent
Detect and enforce organizational standards in every review.
Rule analytics
Track adoption rates, violation trends, and improvement metrics across your toolchain
Risk intelligence
Track issues, resolution rates, and risk across teams and repositories.
Repo relationship mapping
See how repositories, services, and teams are connected.
Audit trail
Every code change and compliance flag is logged for full traceability
System of record
A complete history of findings, decisions, and codebase health.
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.
Govern code quality
from one place
See where standards are holding, where they’re decaying, and which repos are accumulating risk. One dashboard, every signal.