Modern codebases move too fast for manual reviews alone. Hence, developers are switching to AI tools to improve both accuracy and the time spent on code reviews. That’s where tools like DeepCode come in. In this piece, we’ll explain what DeepCode is, how it works in practice, who’s using it today, and what sets it apart from other AI code review tools.
What is DeepCode?
DeepCode AI is the machine-learning engine inside Snyk Code. It bundles two tools:
- DeepCode AI Analyzer: Performs static application-security testing (SAST) and semantic code search. It parses your source, builds a data flow graph, and flags vulnerable lines or suspicious patterns.
- Snyk Agent Fix (formerly DeepCode AI Fix): Generates one-click fixes for many findings, like patches, refactors, or config changes, and can open pull requests automatically.
DeepCode started as an ETH Zurich spin-off and was acquired by Snyk in 2020. Today, the company markets the technology as DeepCode AI for code security and developer productivity. Older docs may still use the name DeepCode AI Fix, but that label now maps to Snyk Agent Fix.
Key Features to Use
AI code analysis with real data-flow modeling
DeepCode AI’s multi-model engine is trained on 25M+ data-flow cases and supports 19+ programming languages, helping Snyk Code surface real issues while suppressing noise.
Inline, IDE-native workflow
The Snyk plug-ins for VS Code and all JetBrains IDEs scan as you type, explain findings, and let you apply fixes without leaving the editor. DeepCode AI Fix is available in both plug-ins.
One-click, AI-generated fixes
For many vulnerabilities, Snyk Agent Fix proposes concrete patches. It first narrows the code context through program analysis, allowing the LLM to focus only on relevant lines and produce higher-quality fixes.
Semantic search & custom rules
DeepCode AI Search enables teams to query code by intent, such as sources, sinks, patterns, and save those queries as reusable rules to catch future variants of the same flaw.
CI/CD & SCM integrations
Run identical scans in GitHub, GitLab, or Bitbucket pipelines and pull requests to block risky merges and ensure consistent feedback with IDE results.
Prioritized, developer-friendly triage
Snyk reports ≈ 80% fix accuracy for its auto-remediation engine and highlights top-risk issues first, streamlining manual review.
Who is Using DeepCode?
Snyk showcases a broad customer base using DeepCode in production applications.
- ICE/NYSE – CISO Steve Pugh says Snyk Agent Fix lets teams “ship software faster and more securely.”
- Komatsu – cut mean-time-to-fix by 62 % and doubled scan speed after moving to Snyk Code.
- Snowflake – embeds Snyk to keep a developer-driven security pipeline.
- REI – built a DevSecOps culture with Snyk Code and AWS.
- Spotify – runs Snyk across the SDLC to catch issues before release.
Snyk’s customer page also states that DeepCode AI code analysis features cut the average MTTR by 84% or more when auto-fix is enabled.
What Makes DeepCode Unique?
- Hybrid intelligence: DeepCode AI code review doesn’t just pattern-match. It builds a data-flow graph, then uses CodeReduce to narrow the LLM’s focus to the code that matters. That trims hallucinations and produces review-ready patches.
- Real-time dev experience: The Snyk plug-ins for VS Code and JetBrains scan as you type, explain findings, and let you apply one-click fixes before you commit.
- Scale and coverage: Trained on over 25 million data-flow cases and supporting 19+ languages, the analyzer works across polyglot monorepos and microservices.
- Operational guardrails: PR checks, CI/CD tasks, and policy hooks turn scan results into enforceable gates, ensuring consistent security feedback from IDE to merge.
Pricing & Value for Money
DeepCode AI is bundled with Snyk’s plans:
Free
- $0 per contributing developer
- Unlimited contributing developers
- Limited tests (Snyk Code ≤100/mo).
- Good for solo/small teams.
Team
- $25/month per contributing developer
- Minimum of 5 contributing developers, up to 10
- Products purchased separately
- Billed monthly, 1 month free with annual pricing
- Open source license compliance
- Jira integration
Enterprise
- Custom pricing.
- Range of testing across SDLC
- Get up and running fast and easily
- Easy access to new capabilities
- Complete visibility into asset coverage
- Advanced risk factors help prioritize
- Advanced analytics to assess programs
Conclusion
DeepCode AI brings secure code analysis straight into the tools developers already use. It scans 19+ languages, flags issues in real time, and offers research-driven, one-click fixes that you can review just like any pull-request patch. Start with the VS Code or JetBrains plug-in, add the same checks to your CI pipeline, and grow into saved searches and policy gates as your codebase scales.
