Review code quality and security, suggest fixes and enforce pull-request checks with DeepSource.
DeepSource reviews source code using a combination of static analysis and AI agents. Its workflow is centred on pull requests, where developers receive inline findings about bugs, security issues and code quality. The platform also supports full-codebase analysis for teams that want to track existing issues rather than only newly changed lines.
Deterministic rules work alongside AI review, and Autofix supplies proposed patches for supported findings. Pull-request gates can enforce the team’s quality requirements before merge. A structured report card covers areas such as reliability, complexity, security and coverage, giving developers a broader summary than a list of isolated comments.
Additional checks include secrets detection, open-source dependency vulnerabilities, licence compliance, infrastructure-as-code review and test coverage. These checks address different risks and should be configured to match the repository. A suggested patch still needs tests and human review, especially when it changes business behaviour.
DeepSource provides a GraphQL API, webhooks and an MCP server so review information can feed other developer tools and agents. Enterprise options include self-hosting and bringing supported model-provider keys. The required repository permissions and data handling should be reviewed before connecting private code.
Team pricing is published as a per-user annual subscription with additional usage-based AI Review and dependency-scanning charges. The open-source offering and trial have their own limits. Unlimited pull-request review language should therefore not be read as unlimited free AI inference.
Start with a representative repository, review the initial findings and tune the checks before making them blocking. Compare proposed fixes with the test suite and document any intentional exceptions. Code review automation supports release decisions but cannot establish that a codebase has no remaining vulnerabilities.
