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Qodo

A review and governance platform for engineering teams that checks pull requests and code in the IDE against codebase context and learned team rules, including code written by AI agents.

Code review
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What it does

Qodo reviews code changes with specialized agents that look at more than the diff. They draw on the codebase, past pull request discussions and linked tickets or specs, and report findings with a severity and suggested fix. The site lists real bugs, duplicated logic, ticket compliance and rule violations among the issues it flags. It also manages team standards. Rules are mined from recurring review comments and reviewer decisions, enforced on every pull request, and tracked for how often issues are resolved before merge. Cross Repo Review looks at how repositories depend on each other and flags breaking changes in shared libraries, even when services sit on different Git providers, while a Software Map shows how repos and services connect. The same review runs in several places: pull requests on GitHub, GitLab, Bitbucket and Azure DevOps (Gerrit on Enterprise), IDEs including VS Code, JetBrains and Visual Studio, and a CLI-based toolbox that coding agents can call. For security, the site states zero data retention, SOC 2 Type II certification, bring-your-own-key model support, and single-tenant, on-prem or air-gapped deployment.

Capabilities

  • Review agents that use full codebase context on every pull request
  • Rules mined from PR history and enforced on later changes
  • Cross-repo review that flags breaking changes in dependent repos
  • IDE and CLI review before code reaches a pull request
  • Risk tracking and an audit trail across repositories and teams
  • Support for GitHub, GitLab, Bitbucket and Azure DevOps

When to use it

  • Your team merges a lot of AI-written code and wants an independent check on it
  • You want recurring review feedback turned into rules that are enforced automatically
  • Changes to shared libraries or APIs risk breaking other repositories
  • Your code must stay under strict data controls such as on-prem hosting or your own model keys