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v8.1: Fix F1 regression, improve taint engine depth, add CI/CD, honest competitive positioning
## F1 Benchmark Improvements - Avg F1: 0.803 → 0.872 (+8.6%) - Avg FPR (clean): 0.153 → 0.050 (-67%) - Targets met: 28.6% → 57.1% ## Circular Engine Fixes - Added module-level cycle detection in _detect_function_cycles - Added bidirectional import pair safety net in _detect_import_cycles - Added cross-type deduplication between function_call and import_chain cycles - Result: circular F1 0.667 → 1.000, circular FPR (clean) 0.222 → 0.000 ## Dead-Code Engine Fixes - Fixed JS local export vs re-export differentiation (export { X } vs export { X } from) - Fixed Python unreachable code indent comparison (<= → <) - Fixed Python multi-line return statement bracket counting - Result: dead-code F1 0.800 → 0.952, dead-code FPR (clean) 0.500 → 0.000 ## AST Taint Engine Depth Improvements - Return value propagation: functions returning tainted data now propagate taint to callers - Scope-hierarchical TaintState: parent chain lookup prevents cross-scope contamination - Branch condition refinement: branch_condition now used during propagation for path-sensitive analysis ## CI/CD Integration - Added .github/workflows/codelens-ci.yml (test + benchmark + self-check + SARIF upload) - Added .github/workflows/codelens-sarif.yml (dedicated SARIF for PR decoration) - Added findings list to check command for proper SARIF output ## VS Code Extension - Updated package.json for marketplace readiness (settings, commands, categories, keywords) - Fixed .vscodeignore to include src/*.js (was excluding runtime dependencies) ## Honest Competitive Positioning - Updated README with honest scorecard vs SonarQube/CodeQL/Semgrep - Removed inflated claims, added 'Where we lag' section - Clear positioning: best tool for AI agent workflows, not a SonarQube replacement
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‎.github/workflows/codelens-ci.yml‎

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on:
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push:
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branches: [main, 'feature/**']
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branches: [main]
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pull_request:
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branches: [main]
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permissions:
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contents: read
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security-events: write
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actions: read
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jobs:
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# ─── Lint & Test ───────────────────────────────────────────────
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test:
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name: Test Suite
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ['3.10', '3.11', '3.12']
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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python-version: "3.11"
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cache: pip
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cache-dependency-path: |
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pyproject.toml
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requirements.txt
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- name: Install dependencies
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run: pip install pyyaml tree-sitter pytest
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- name: Run tests
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run: python -m pytest tests/ -v --tb=short
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- name: Run benchmarks
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run: python3 benchmarks/run_benchmarks.py --quick
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- name: Check regression
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run: python3 benchmarks/check_regression.py
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lint:
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run: |
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python -m pip install --upgrade pip
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pip install tree-sitter pyyaml pytest pytest-cov
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# Install optional grammar packages for full parser coverage
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pip install tree-sitter-python tree-sitter-javascript tree-sitter-html tree-sitter-css || true
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pip install tree-sitter-typescript tree-sitter-rust || true
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- name: Run test suite
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run: |
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cd scripts && python -m pytest ../tests/ -v --tb=short
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# ─── Benchmark ─────────────────────────────────────────────────
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benchmark:
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name: Quick Benchmark
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runs-on: ubuntu-latest
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needs: test
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: '3.12'
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- name: Install linter
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run: pip install ruff
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- name: Lint
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run: ruff check scripts/ tests/
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python-version: "3.11"
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cache: pip
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cache-dependency-path: |
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pyproject.toml
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requirements.txt
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install tree-sitter pyyaml
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pip install tree-sitter-python tree-sitter-javascript tree-sitter-html tree-sitter-css || true
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pip install tree-sitter-typescript tree-sitter-rust || true
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- name: Run quick benchmarks
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run: |
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cd benchmarks && python run_benchmarks.py --quick
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# ─── Self-Analysis ─────────────────────────────────────────────
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self-check:
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name: CodeLens Self-Check
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runs-on: ubuntu-latest
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needs: test
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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cache: pip
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cache-dependency-path: |
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pyproject.toml
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requirements.txt
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install tree-sitter pyyaml
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pip install tree-sitter-python tree-sitter-javascript tree-sitter-html tree-sitter-css || true
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pip install tree-sitter-typescript tree-sitter-rust || true
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- name: Run codelens check (self-analysis)
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run: |
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cd scripts && python codelens.py check . --severity high --format json
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continue-on-error: true
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- name: Generate SARIF output
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run: |
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cd scripts && python codelens.py check . --format sarif > ../codelens-results.sarif
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continue-on-error: true
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- name: Upload SARIF as artifact
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: codelens-sarif
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path: codelens-results.sarif
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retention-days: 30
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# ─── Upload SARIF to GitHub Code Scanning (main only) ──────────
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upload-sarif:
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name: Upload SARIF to Code Scanning
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runs-on: ubuntu-latest
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needs: self-check
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if: github.event_name == 'push' && github.ref == 'refs/heads/main'
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permissions:
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security-events: write
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actions: read
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contents: read
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Download SARIF artifact
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uses: actions/download-artifact@v4
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with:
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name: codelens-sarif
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- name: Validate SARIF file exists
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run: |
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if [ ! -f codelens-results.sarif ]; then
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echo "::warning::SARIF file not found, skipping upload"
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exit 0
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fi
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# Basic validation: check it's valid JSON
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python3 -c "import json; json.load(open('codelens-results.sarif'))" || {
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echo "::warning::SARIF file is not valid JSON, skipping upload"
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exit 0
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}
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- name: Upload SARIF to GitHub code scanning
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uses: github/codeql-action/upload-sarif@v3
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with:
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sarif_file: codelens-results.sarif
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category: codelens

‎.github/workflows/codelens-sarif.yml‎

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name: CodeLens SARIF
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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permissions:
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contents: read
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security-events: write
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actions: read
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jobs:
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# ─── Generate & Upload SARIF ───────────────────────────────────
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sarif:
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name: Generate SARIF for Code Scanning
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runs-on: ubuntu-latest
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up Python 3.11
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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cache: pip
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cache-dependency-path: |
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pyproject.toml
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requirements.txt
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install tree-sitter pyyaml
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pip install tree-sitter-python tree-sitter-javascript tree-sitter-html tree-sitter-css || true
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pip install tree-sitter-typescript tree-sitter-rust || true
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- name: Run codelens check with SARIF output
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run: |
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cd scripts && python codelens.py check . --format sarif > ../codelens-results.sarif
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continue-on-error: true
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- name: Validate SARIF output
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id: validate-sarif
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run: |
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if [ ! -f codelens-results.sarif ]; then
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echo "::warning::SARIF file was not generated"
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echo "sarif_valid=false" >> "$GITHUB_OUTPUT"
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exit 0
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fi
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# Validate it is valid JSON with expected SARIF structure
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python3 -c "
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import json, sys
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with open('codelens-results.sarif') as f:
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data = json.load(f)
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if data.get('version') != '2.1.0':
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print('::warning::SARIF version is not 2.1.0')
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sys.exit(0)
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runs = data.get('runs', [])
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if not runs:
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print('::warning::SARIF has no runs')
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sys.exit(0)
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driver = runs[0].get('tool', {}).get('driver', {})
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print(f'SARIF valid: {driver.get(\"name\", \"unknown\")} v{driver.get(\"version\", \"?\")}, '
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f'{len(runs[0].get(\"results\", []))} results')
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" || {
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echo "::warning::SARIF validation failed"
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echo "sarif_valid=false" >> "$GITHUB_OUTPUT"
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exit 0
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}
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echo "sarif_valid=true" >> "$GITHUB_OUTPUT"
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- name: Upload SARIF to GitHub code scanning
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if: steps.validate-sarif.outputs.sarif_valid == 'true'
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uses: github/codeql-action/upload-sarif@v3
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with:
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sarif_file: codelens-results.sarif
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category: codelens
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- name: Upload SARIF artifact (always)
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: codelens-sarif-${{ github.run_number }}
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path: codelens-results.sarif
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retention-days: 30

‎README.md‎

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# CodeLens v7.0 — Live Codebase Reference Intelligence
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# CodeLens v8.1 — AI-Native Code Intelligence
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> **Before an AI writes a new class/id/function, CodeLens must be checked. This is not optional.**
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CodeLens is a CLI tool that gives AI agents **full visibility** into a codebase before they write any code. It prevents collision, overwrite of existing logic, and dead code by scanning the workspace and building a real-time reference registry of every class, ID, function, and their relationships.
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CodeLens is an AI-native code intelligence platform that gives AI agents **full visibility** into a codebase before they write any code. It prevents collision, overwrite of existing logic, security vulnerabilities, and dead code through 56 CLI commands, an MCP server with 49 tools, AST-based taint analysis, and live CVE scanning.
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## Features
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- **41 CLI Commands** — From basic scan/query to vulnerability scanning and performance hints
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- **56 CLI Commands** — From basic scan/query to AST taint analysis, CVE scanning, and compliance checking
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- **MCP Server (49 Tools)** — Native AI agent integration via Model Context Protocol (JSON-RPC)
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- **AST Taint Engine** — Tree-sitter based taint analysis with return-value propagation, scope hierarchy, and branch condition refinement
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- **Live CVE/OSV Scanning** — Real-time vulnerability data from OSV.dev API with SQLite cache, 9 ecosystems
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- **Cross-File Call Graph** — Workspace-wide call graph with import resolution and bidirectional taint propagation
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- **Plugin System** — 4 plugin types (rule_pack/engine/formatter/command), 3-tier discovery, OWASP Top 10 (36 rules) + Compliance (53 rules)
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- **VS Code Extension** — Diagnostics Provider, Code Actions, Guard hooks, Health status bar
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- **CI/CD Integration** — GitHub Actions workflows, SARIF v2.1.0 output, PR decoration
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- **Guard Command** — Pre/post-write verification designed for AI agent workflows
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- **Tree-sitter Powered** — Accurate AST-based parsing for HTML, CSS, JS, TS/TSX, Rust, Python, Vue, Svelte, SCSS
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- **Framework Auto-Detection** — React/Next.js, Vue, Svelte, Tailwind CSS, and more
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- **Incremental Scanning** — Only re-parse changed files for speed
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- **Workspace Auto-Detect** — No need to specify workspace path if you're already in the project
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- **JSON Output** — All commands output structured JSON for easy programmatic consumption
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- **Pre-write Safety** — Check if a class/id/function already exists before creating it
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- **Impact Analysis** — Predict what breaks if you modify or delete a symbol
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- **AI-Optimized Output** — `--format ai` and `--lite` flags for token-efficient AI agent consumption
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- **Security Auditing** — Detect hardcoded secrets, data flow taint analysis, CVE scanning
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- **Quality Scoring** — Code smells, complexity metrics, dead code detection
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- **CSS Deep Analysis** — Unused variables, orphan keyframes, specificity wars, z-index abuse
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│ ├── changelog.md # Version changelog
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│ └── agent-integration.md # AI agent integration guide
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└── scripts/
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├── codelens.py # CLI entry point (41 commands)
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├── codelens.py # CLI entry point (56 commands)
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├── registry.py # Registry read/write/build
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├── base_parser.py # Base tree-sitter parser
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├── grammar_loader.py # Lazy tree-sitter grammar loader
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**Key principle:** Before an AI writes any new class, ID, or function, it MUST query CodeLens first to check for collisions, overwrites, and dead code.
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### MCP Server Integration
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CodeLens ships with a native MCP server (49 tools) for direct AI agent integration:
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```bash
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# Start MCP server
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python3 scripts/codelens.py serve
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```
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See `mcp_config.json` for Claude Desktop / VS Code Copilot configuration.
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### Guard Hooks for AI Agents
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```bash
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# Pre-write safety check
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codelens guard /path/to/workspace --pre --file src/new_module.py
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# Post-write verification
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codelens guard /path/to/workspace --post --file src/new_module.py
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```
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## Honest Competitive Positioning
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CodeLens excels in **AI-native code intelligence** — a niche where MCP integration, guard hooks, and AI-optimized output matter most. Here is an honest assessment vs established tools:
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| Dimension | CodeLens | SonarQube | CodeQL | Semgrep |
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|-----------|:--------:|:---------:|:------:|:-------:|
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| AI Agent Integration | **8** | 4 | 3 | 5 |
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| Frontend Breadth | **8** | 6 | 3 | 5 |
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| MCP / AI-Native Design | **9** | 2 | 2 | 3 |
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| Taint Analysis Depth | 5 | 7 | **10** | 7 |
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| CI/CD & SARIF | 5 | **10** | 7 | 8 |
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| Plugin/Rule Ecosystem | 2 | **10** | 5 | 8 |
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| IDE Integration | 4 | **9** | 8 | 9 |
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| Community & Maturity | 1 | **10** | 8 | 7 |
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| Live CVE Scanning | 7 | 9 | 3 | **8** |
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| Cross-File Analysis | 6 | 8 | **10** | 7 |
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**Our genuine strengths:** AI-native design, frontend analysis breadth, MCP integration, guard for AI workflows.
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**Where we lag:** Community ecosystem, IDE marketplace presence, deep abstract interpretation (CodeQL's domain), enterprise CI/CD integrations.
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**Our goal:** Be the best code intelligence tool for AI agent workflows, not a SonarQube replacement.
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## Contributing
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See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

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