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SLM-Works

Coming soon

SLM-Works Code Reviewer

Automated code review for common enterprise stacks

Automates first-pass code review checks for security, style, and common performance issues inside your CI process.

6.7B~85% fewer tokens per review vs GPT-4

How it works

  1. Step 1

    Read diff or changed files from CI event.

  2. Step 2

    Analyze patterns against configured rules.

  3. Step 3

    Produce inline findings with severity and rationale.

  4. Step 4

    Post review feedback to pull request tooling.

Example

Example input

PR with API endpoint changes and query-building logic.

Example output

{ findings: [{ severity: 'high', type: 'sql-injection-risk', file: 'api/orders.ts', line: 88 }] }

Key features

  • OWASP-oriented static review heuristics
  • Language-aware style checks for common enterprise stacks
  • PR-comment output compatibility
  • CI/CD local execution without external API dependency

Rollout guidance

  • Treat as reviewer assistant, not sole merge gate in early phases.
  • Tune false-positive thresholds by repository.

Ideal for

Engineering teamsDevOpsSecurity teamsPlatform engineering

FAQ

Can this replace SAST tools?

No. It complements SAST with contextual code feedback, but does not replace dedicated security scanners.

Want this model in your stack?

We can scope a deployment blueprint, evaluation set, and integration plan for your data and infrastructure constraints.