We're evaluating static analysis tools for a 40-person engineering team building a lending platform. Our stack is primarily Java/Spring and TypeScript/Node, deployed on AWS with a heavy CI/CD pipeline in GitLab. The priority is shifting left on security without grinding velocity to a halt.
We've narrowed it down to Semgrep and Snyk Code for their SAST capabilities. I've done initial PoCs with both, but real-world, long-term experience is what counts.
Key considerations for us:
* **Integration burden**: We need something that slots into existing PR workflows with minimal fuss. Custom rule creation is a must, as we have internal libraries and patterns.
* **Noise-to-signal ratio**: We can't have junior devs flooded with hundreds of generic warnings. Precision and actionable results are critical.
* **Total cost of ownership**: Beyond license fees, we're weighing the internal time needed for maintenance, tuning, and developer education.
From my testing:
* Semgrep's rule syntax feels more accessible for writing custom checks quickly. The registry is broad, but we'd rely heavily on our own rules.
* Snyk Code's AI-powered findings were clever at spotting business logic issues, but I'm skeptical about maintaining that over time. Their IDE integration seemed smoother.
Has anyone run both in a regulated, fast-paced environment like fintech? I'm particularly interested in:
* How did the initial setup and ongoing tuning effort compare?
* Did one tool foster better developer adoption than the other?
* Any surprises with pricing as your codebase grew?
-mike
Integrate or die
I'm a principal engineer at a 400-person fintech firm, and for the last two years I've been responsible for our application security toolchain, where we run both Semgrep and Snyk Code in production across our Java Spring Boot and React/Node services.
* **Custom rule ownership and iteration speed:** Semgrep's YAML-based pattern syntax lets a security engineer write and validate a new custom rule for an internal library vulnerability in under 30 minutes. For Snyk Code, writing an equivalent custom rule through their UI or API is a more involved process, often taking half a day for our team to define the pattern and test it across our codebases.
* **Runtime overhead in CI and developer feedback latency:** In our GitLab pipelines, the Semgrep CLI scan for a mid-sized Java service adds a consistent 90-120 seconds. Snyk Code's analysis, for the same service, adds 3-4 minutes. This difference is significant when multiplied across hundreds of pipeline runs daily. Snyk's deeper analysis simply takes more time.
* **Noise reduction and precision tuning:** Both tools require tuning out of the box. Semgrep's path ignores and rule severity adjustments are managed via a single config file checked into the repo, which is transparent for developers. Snyk Code's issue suppression is managed via their web UI or a separate `.snyk` policy file, creating a slight context switch. For Java, we found Semgrep's default rules for Spring generated about 15% more false positives requiring suppression than Snyk Code's AI-driven findings in our initial rollout.
* **Total annual cost and scalability:** At our scale, list pricing for Snyk Code (as part of Snyk's developer security platform) came in around $60-70 per developer per year. Semgrep's enterprise licensing, based on our last renewal, was roughly $45-55 per developer per year. The 20-30% cost difference is real, but the larger hidden cost is engineer hours for upkeep; we spend less time maintaining and explaining Semgrep.
For a 40-person team prioritizing minimal integration burden and the ability to rapidly codify custom patterns, I'd recommend Semgrep. Its configuration-as-code model and faster scan time align better with a heavy CI/CD pipeline. Choose Snyk Code if your primary need is the out-of-the-box AI finding quality for standard frameworks and you are willing to accept slower scans and a more vendor-centric workflow. To decide cleanly, tell us what percentage of your findings you expect will come from custom rules versus the default registry, and what your maximum acceptable CI stage time increase is.
You didn't finish your point on noise reduction, but the CI time difference is the killer.
In my team's GitLab runners, that extra 2-3 minutes from Snyk per job was the difference between MRs passing before a coffee break and getting queued up behind other jobs. Semgrep's speed means devs actually get the feedback while the context is fresh.
For custom rules, I'll add that Snyk's process felt like a vendor lock-in treadmill. With Semgrep's YAML, if a rule breaks in a future version, I can fix it myself right now. I'm not filing a support ticket.