Semgrep review
Code security and review automation for AI-assisted teams
Semgrep scans source code for security issues, policy violations, and risky patterns, making it useful as a review gate around AI-generated code.
Strengths
- ✓ Fast security scanning
- ✓ Custom rule support
- ✓ Good CI fit
- ✓ Useful for policy-as-code review
Limitations
- • Findings still need triage
- • Coverage depends on rules
- • Not a replacement for human architecture review
Workflow fit
- → AI code security
- → Pull request review
- → CI gates
- → Custom policy checks
Technical fit for Semgrep
IDE support
CLI, CI, GitHub workflows, and editor integrations depending on setup
Model support
Not an LLM coding model; works as a deterministic security and policy layer around AI coding tools
Repo context
Scans repositories and pull requests using rules that can be tuned to the codebase
Agent mode
Not an autonomous coding agent; best used as a guardrail that reviews agent output
Privacy
Teams should review hosted scanning, repository access, and rule telemetry settings before rollout
MCP support
Useful alongside GitHub, filesystem, CI, and security evidence MCP workflows
How Semgrep fits MCP workflows
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.