Qodo is an AI code review and governance platform that improves code quality and accelerates development through deep codebase context, agentic workflows, and enforceable standards.
Rankings
Customer voice
Quotes published on Qodo's official website.
Maintaining consistent standards is critical for our engineering teams. Qodo’s Rules System didn’t just surface the standards we had scattered across different places; it operationalized them. The system continuously reinforces how our teams actually review and write code, and we are seeing stronger consistency, faster onboarding, and measurable improvements in review quality across teams. Ofer Morag Brin Head of Mobile Engineering
As we expand the use of AI-assisted development across our platforms, Qodo ensures every line of code meets our standards for performance, security, and compliance. The layer of governance Qodo provides is critical to delivering seamless, reliable travel experiences at a global scale. We are innovating faster while maintaining the trust our customers place in us at every stage of their journey. Christian Rudolph Head of Platform Services
With Qodo, our engineers review PRs even faster and with increased confidence in what they’re pushing to production. It catches potential gaps before they become significant and helps the team maintain a high bar for code quality, without slowing anyone down. Jordan J. Buffaloe Senior Product Manager
This is the broad commercial model reported for Qodo. Product-level terms are listed below when available.
Trust profile
Qodo has launched a centralized configuration portal, enabling organizations to manage code review settings at both the organization and repository levels. The portal includes tabs for controlling review triggers, PR summaries, review standards, remediation settings, and display preferences. Users can customize behavior through manual review triggers, define inline comment thresholds, and configure remediation agents. The new portal also provides a live preview feature for users on GitHub, GitLab, and Azure DevOps to visualize how review comments will appear in their development environment.
Qodo has introduced a new 'Relevance' feature for code review findings, currently in beta. This feature analyzes historical pull request activity to classify the relevance of code review findings based on how teams have handled similar issues in the past. It assigns a high, medium, or low relevance score to findings and provides links to context from relevant past pull requests. This feature is integrated for GitHub and GitLab users and dynamically learns from new pull request decisions to keep relevance classifications updated as team standards evolve.