DeepSource
AI code review over 5,000 static analysis rules, with Autofix and SAST
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deepsource.comAbout DeepSource
DeepSource is a code review platform that combines deterministic static analysis with AI review agents, which is a more defensible design than either half alone. Pure LLM reviewers hallucinate issues and miss the boring ones; pure static analysis buries teams in false positives. DeepSource runs over 5,000 deterministic rules alongside an AI review agent and reports inline on every pull request across security, quality, complexity and coverage, with Autofix generating the patch rather than just describing the problem. The surrounding platform covers SAST, infrastructure-as-code scanning, secrets detection, code coverage, OWASP Top 10 and CWE/SANS Top 25 reporting, open-source dependency vulnerability scanning with license compliance, and automated code formatting on every PR. Monorepo support is explicit, as are API and webhook access, Slack and Jira integrations. The reason this matters more now than it did five years ago is stated plainly on the homepage: teams are writing more code with AI, and the review bottleneck moved. A DeepSource MCP server ships, so the analysis is readable by a coding agent as it works rather than only at PR time. Public repositories are free with 1,000 reviews and 1,000 formatting runs a month. Enterprise adds self-hosted deployment and bring-your-own-key AI review, where inference runs on your own Anthropic, OpenAI or Google credentials inside your infrastructure.
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