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Qodo is an AI code review platform that provides automated, context-aware review across IDEs, pull requests, CLI, and Git workflows. It builds a persistent understanding of your repositories—their structure, history, and dependencies—so reviews are based on the full system rather than isolated changes. Qodo is designed for complex and multi-repository environments, where understanding context is required to identify issues and enforce standards consistently. Qodo is an AI code review platform that brings automated, context-aware review into your IDE, pull requests, CLI, and Git workflows. It’s built for complex codebases, with context across multi-repos, to surface critical issues early, enforce standards, shorten feedback cycles, and ship better code faster. In Qodo, AI code review, code quality, and SDLC governance come together in one platform for teams that care as much about how code is reviewed as how fast it ships. Unlike tools that evaluate a diff in isolation, Qodo builds a persistent understanding of your repositories, their structure, history, and dependencies, so every review is grounded in how the full system works.

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How it works

Qodo analyzes code in the context of the entire codebase. Instead of evaluating diffs in isolation, it maintains a continuously updated representation of repositories and their relationships. This allows it to:
  • Identify issues that depend on cross-file or cross-repository context
  • Apply rules and standards consistently across environments
  • Provide feedback directly within existing development workflows
Qodo integrates with IDEs, pull requests, and command-line tools, so reviews happen where code is written and reviewed.

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Platform components

Qodo consists of several core components:
  • Context engine: Builds and maintains an understanding of repository structure and dependencies
  • Review engine: Analyzes code changes and generates feedback based on context
  • Integrations layer: Connects Qodo to IDEs, Git providers, and CLI workflows

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Next steps

See Platform architecture for a detailed description of system design and data flow. See Core Features for a breakdown of available capabilities.