Map all public interfaces, exported functions, and API endpoints. Detect breaking changes between versions.

Replace PII (names, emails, phone numbers, addresses, SSNs) with realistic fake data. Consistent replacement across files.

Log and alert on file system operations during agent execution. See exactly which files were read, written, or deleted.

Run micro-benchmarks on functions and compare performance across implementations. Track regression over time.

Create realistic test fixtures from database schemas, API responses, and TypeScript types. Faker-powered data generation.

Detect leaked API keys, tokens, passwords, and credentials in code. Supports AWS, GitHub, OpenAI, Stripe, and 40+ provider patterns.

Analyze git history patterns: hotspot files, churn rate, contributor patterns, commit message quality, branch age.

Generate visual dependency graphs, module maps, and architecture diagrams from source code. Output as Mermaid, DOT, or JSON.

Generate compliance-ready audit logs of all agent actions: files modified, commands run, APIs called. Export as JSON, CSV, or HTML reports.

Auto-generate architecture documentation from code analysis: module responsibilities, data flows, integration points.

Catalog all environment variables used across the codebase. Detect missing .env entries, unused vars, and inconsistencies.

Find circular dependencies between modules. Visualize dependency chains and suggest breaking points.

Validate JSON, YAML, TOML, and INI config files against schemas. Detect typos, missing required fields, and type mismatches.

Find unused functions, variables, imports, exports, and CSS classes across your codebase. Supports tree-shaking analysis.

Identify untested code paths, uncovered branches, and functions without test files. Prioritize by risk and complexity.

Detect exposed credentials and automatically rotate them. Supports .env files, config files, and CI/CD secrets.

Scan package.json, requirements.txt, Cargo.toml, and go.mod for known CVEs. Offline database of vulnerabilities, no API needed.

Analyze function signatures and generate boundary value test cases: empty strings, zero, negative numbers, unicode, huge inputs.

Verify file integrity: valid JSON, well-formed XML, correct CSV headers, valid images. Check encoding, line endings, BOM markers.

Verify API contracts between frontend and backend. Detect schema mismatches, missing fields, and type incompatibilities.