Semgrep alternative for local AI-assisted code review.

Use Code Radar when you need a local SAST and merge-readiness workflow for CLI scans, coding agents, GitHub Actions, SARIF, dependencies, secrets, and code health.

Run Code Radar locally See decision criteria

radar scan . --quick

Choose Radar when the developer loop matters

Semgrep is strongest when a team wants a mature rule ecosystem and platform workflow. Radar starts with the local review loop: scan, inspect, hand findings to an agent, then enforce the same gate in CI.

Native CLI cockpit
MCP tools
Trend and badge output
SARIF/JSON/HTML evidence

Semgrep alternative

Evidence to inspect

Use “Semgrep alternative for local AI-assisted code review.” as the scope for this decision: verify the input, finding detail, workflow handoff, and product boundary before you install or buy.

CriterionEvidence to inspectBoundary

Input scopeSelected files, configuration, scan mode, and enabled rules.Only included paths and configured checks are evaluated.

Finding detailFile, line, rule ID, severity, explanation, and repair direction.Illustrative output is not a result from your repository.

Workflow handoffLocal result, report format, agent context, and optional CI signal.Enable exports or CI only when the workflow needs them.

Decision fitUse the same criteria on a real repository before choosing a plan or tool.No universal winner or guaranteed outcome is claimed.

Semgrep alternative

Run Code Radar locally

Best fit

Radar is a practical Semgrep alternative for solo developers and small teams that need deterministic local checks before pushing AI-generated code, plus a concise pull-request gate later.

radar scan . --quick
radar prompt . --diff --copy
radar trend

Official source

Primary sources

SemgrepSemgrep documentation
OASIS OpenSARIF 2.1.0 standard

Validate the workflow on your own code.

Apply this page’s evidence to one real repository. For “Semgrep alternative for local AI-assisted code review.”, confirm which finding is produced, whether the proposed next step is reproducible, and where local scanning, reports, agents, or CI should stop or expand.