NVIDIA / NVIDIA/nvcf

Adopt GitHub-native CI security and review tooling (CodeQL + CodeRabbit)

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#210 0 comments 0 reactions 1 assignee View on GitHub

@balajinvda is already working on this.

Since Jul 20, 2026.

Dominant language
Go
Stars
218
Forks
72
Avg merge
1d 12h
Merged PRs (30d)
427

Description

Summary

The public mirror runs TruffleHog secret scanning (dsx) but lacks static
analysis and AI code review. Adopt the GitHub-native pair:

  • CodeQL SAST via NVIDIA/dsx-github-actions (Go + Rust), non-blocking during rollout.
  • CodeRabbit config (.coderabbit.yaml) with path filters and AGENTS.md-aligned review instructions.

Out of scope / follow-ups

  • SonarQube: internal sonar.nvidia.com is not reachable from GitHub-hosted runners; SonarQube Cloud (sonarcloud.io) would need a dedicated org + token. CodeQL covers the SAST overlap, so Sonar is deferred.
  • dsx security-container-scan (Grype/SBOM) against Bazel-built images.
  • Extend CodeQL matrix to Java/Python and flip to a blocking gate after triage.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

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