Here’s a quick, practical add-on for your pipelines: simple guardrails for AI‑assisted code so you don’t ship security/IP/license problems without slowing teams down. --- # Why this matters (super short) AI coding tools boost output but can introduce: * **Security issues** (hardcoded secrets, unsafe APIs, prompt‑planted vulns) * **IP leakage** (copied proprietary snippets) * **License conflicts** (incompatible OSS brought by the model) --- # Three fast checks (under ~1–3s per change) 1. **Secrets & Unsafe Patterns** * Detect credentials, tokens, and high‑risk calls (e.g., weak crypto, eval/exec, SQL concat). * Flag “new secrets introduced” vs “pre‑existing” to reduce noise. * Require fix or approved suppression with evidence. 2. **Attribution & Similarity** * Fuzzy match new/changed hunks against a vetted “allowlist” (your repos) and a “denylist” (company IP you can’t disclose). * If similarity > threshold to denylist, block; if unknown origin, require justification note. 3. **License Hygiene (deps + snippets)** * On dependency diffs, compute SBOM, resolve licenses, evaluate policy matrix (e.g., **OK**: MIT/BSD/Apache‑2.0; **Review**: MPL/LGPL; **Block**: GPL‑3.0 for closed components). * For pasted code blocks > N lines, enforce “license/attribution comment” presence or ticket link proving provenance. --- # Lightweight policy you can ship today **Policy goals** * Be **explainable** (every fail has a short reason + link to evidence) * Be **configurable** per repo/env * Support **override with audit** (who, why, for how long) **Example (YAML)** ```yaml stellaops: ai_code_guard: enabled: true thresholds: similarity_block: 0.92 similarity_review: 0.80 max_paste_lines_without_provenance: 12 licenses: allow: [MIT, BSD-2-Clause, BSD-3-Clause, Apache-2.0] review: [MPL-2.0, LGPL-2.1, LGPL-3.0] block: [GPL-3.0-only, AGPL-3.0-only] checks: - id: secrets_scan required: true - id: unsafe_api_scan required: true - id: snippet_similarity required: true - id: dep_sbom_license required: true overrides: require_issue_link: true max_duration_days: 14 ``` **Gate outcomes** * ✅ **Pass**: merge/release continues * 🟡 **Review**: needs approver with role `SecurityReviewer` * ⛔ **Block**: only `SecurityOwner` can override with issue link + time‑boxed waiver --- # Minimal evidence you store (per change) * Hashes of changed hunks + similarity scores * Secret/unsafe findings with line refs * SBOM delta + license verdicts * Override metadata (who/why/expiry) This feeds Stella Ops’ **deterministic replay**: same inputs → same verdicts → audit‑ready. --- # Drop‑in CI snippets **GitHub Actions** ```yaml jobs: ai-guard: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: stella-ops/cli-action@v1 with: args: guard run --policy .stellaops.yml --format sarif --out guard.sarif - name: Upload SARIF uses: github/codeql-action/upload-sarif@v3 with: { sarif_file: guard.sarif } ``` **GitLab CI** ```yaml ai_guard: image: stellaops/cli:latest script: - stella guard run --policy .stellaops.yml --format gitlab --out guard.json - test "$(jq -r .status guard.json)" = "pass" ``` --- # Small UX that wins trust * **Inline PR annotations** (secret types, API names, license rule hit) * **One‑click “request waiver”** (requires ticket link + expiry) * **Policy badges** in PR (“AI Code Guard: Pass / Review / Block”) --- # How this plugs into Stella Ops * **Scanner**: run the 3 checks; emit evidence (JSON + DSSE). * **Policy/Lattice Engine**: combine verdicts (e.g., *Block if secrets OR block‑license; Review if similarity_review*). * **Authority**: sign the gate result; attach to release attestation. * **Replay**: store inputs + rule versions to reproduce decisions exactly. If you want, I’ll turn this into: * a ready‑to‑use **`.stellaops.yml`**, * a **CLI subcommand spec** (`stella guard run`), * and **UI wireframes** for the PR annotations + waiver flow.