# Dockerfile and CI taste - Use multi-stage builds and ship only the runtime artifacts in the final stage. Confidence: 0.95 - Pin base images to a specific version tag, and to a digest for production. Confidence: 0.90 - Prefer slim or distroless final images over full OS images. Confidence: 0.85 - Run the container as a non-root user. Confidence: 0.95 - Order layers so dependency manifests are copied and installed before source code. Confidence: 0.95 - Always keep a .dockerignore that excludes node_modules, .git and local env files. Confidence: 0.95 - Add a HEALTHCHECK or an equivalent readiness probe. Confidence: 0.80 - Use BuildKit cache mounts for package manager caches. Confidence: 0.80 - Never bake secrets into images; pass them at runtime or use build secrets. Confidence: 0.95 - Use exec-form CMD so the process receives signals correctly. Confidence: 0.90 - Scan images with Trivy in CI and fail on critical vulnerabilities. Confidence: 0.80 - Cache dependencies in GitHub Actions keyed on the lockfile hash. Confidence: 0.85 - Run lint, type check and tests as separate parallel CI jobs. Confidence: 0.80 - Tag images with the git SHA and never rely on the latest tag for deploys. Confidence: 0.90 - Keep workflows short and move repeated steps into reusable workflows. Confidence: 0.70
Reviews GitHub Actions workflow YAML for supply-chain and injection risks: pull_request_target with PR checkout, untrusted github.event text in run steps, actions pinned to tags or branches instead of commit SHAs, missing or write-all permissions, secrets in shell commands, curl | bash, self-hosted runners on PRs, and missing timeouts. Use before merging CI changes or auditing a repo. Includes a stdlib Python linter with --self-test.
Finds flaky tests from repeated CI runs: parses JUnit XML or a CSV run history, flags tests that both pass and fail (confirmed when on the same commit), ranks them by flip and failure rate, and suggests likely causes and fixes. Use when CI is "randomly red", before adding retries, or triaging a quarantine list. Includes a stdlib Python detector with --self-test.