DeepSource
AI Code Review Platform with hybrid static + AI analysis. 82% accuracy on real vulnerabilities.
Where DeepSource ranks
Current edition · updated Oct 20, 2026About DeepSource
DeepSource helps developers ship clean and secure software by automatically scanning their code and fixing it with Autofix™ AI. We're trusted by 7,000+ teams, from startups to Fortune 500s.
Products
Automatically fixes code quality issues using AI.
Secure every commit with an industry-leading SAST engine, running thousands of scans on every commit to fix security issues before production.
AI code review with hybrid static analysis and AI agents.
Secure your software supply chain with continuous dependency scanning, reachability analysis, and automated remediation.
Harden your infrastructure as code with an IaC security engine that runs hundreds of scans on every commit to fix security misconfigurations before production.
Track test coverage metrics and identify untested code paths on every pull request.
Automatically detect and fix code quality issues on every commit, so you can merge pull requests faster.
What customers say
“DeepSource is a great product that complements projects looking to embrace CI and source code quality as part of a larger DevOps strategy. It's been very easy and a pleasure to use this product. All around, we are very happy with DeepSource.”
“DeepSource has enabled us to significantly improve the quality of our Python codebase. Security is a big deal. When we know that we have no security issues and that we have the green light it is an excellent measure of project health.”
“Making DeepSource part of our CI pipeline gives us confidence that, in particular, incoming code changes do not introduce additional issues. We were able to go through our entire codebase and address issues flagged by DeepSource.”
- DeepSource Code Quality & Static Analysis
Code Éxitos implemented continuous static analysis across its projects and made DeepSource checks a mandatory part of code review. The vendor reports that automated commit analysis reduced routine review work and…
Case study - DeepSource Code Coverage
Ancestry adopted DeepSource for integrated pull-request checks, multilingual code analysis, and false-positive reporting. DeepSource also reports that Ancestry used its Code Coverage feature to improve its test suite and…
Case study - DeepSource Code Quality & Static Analysis
Grid AI integrated DeepSource analyzers with its GitHub repositories and adopted Autofix-generated pull requests. The vendor reports increased analyzer use and a faster daily review workflow; the historical story does…
Case study
Security and compliance
As reported by DeepSource. Ask for audit reports before you buy.
- PCI DSSCompliant
- Secrets Detection
- IaC Security
- SAST
- SCA
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