← AI coding tools
Semgrep vs Snyk Code
Compare two developer security workflows for scanning AI-generated code, pull requests, dependencies, custom rules, and CI review gates.
| Category | Semgrep | Snyk Code |
|---|---|---|
| Best for | Teams that need fast static analysis, custom rules, and CI checks before agent-generated changes reach production. | Product engineering teams that want developer-friendly security checks across code, open-source dependencies, and CI workflows. |
| Pricing | Open-source engine with paid team and enterprise products | Free tier and paid team/enterprise plans depending on product usage |
| Rating | ★ 4.5/5 | ★ 4.4/5 |
| Workflow fit | AI code security, Pull request review, CI gates, Custom policy checks | Secure code review, Dependency checks, PR scanning, Team security rollout |
| IDE support | CLI, CI, GitHub workflows, and editor integrations depending on setup | IDE plugins, CLI, SCM, and CI integrations depending on setup |
| Agent mode | Not an autonomous coding agent; best used as a guardrail that reviews agent output | Not a coding agent; use as a security review system around agent-generated pull requests |
| Privacy | Teams should review hosted scanning, repository access, and rule telemetry settings before rollout | Review repository access, scanning scope, and organization policy settings before connecting private repos |
| MCP angle | Semgrep gives AI coding agents a concrete review gate: code can be generated by an agent, then scanned through least-privilege CI or MCP-backed evidence workflows. | Snyk is useful in MCP-governed coding workflows because it turns generated code and dependency changes into reviewable security evidence. |
Verdict
Choose Semgrep when custom code rules and fast policy checks matter most. Choose Snyk Code when you want a broader developer security platform across code and dependency risk.