Testing AI-Written Code
Verify, test, and ship code from AI coding assistants with confidence
10 phases. 56 lessons. 56 labs. 4 projects. AI-generated code has a 55.8% vulnerability rate (Z3-proven), 1.7x more defects than human PRs, and 19.7% hallucinated package recommendations. This course teaches the full verification stack: test-driven AI development, static analysis, property-based testing, mutation testing, formal verification with Z3, supply chain defense against slopsquatting, CI/CD quality gates with dual-agent test generation, intent verification, and production monitoring. Yo
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- Labs: —
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- Level: Beginner
Curriculum
- The AI Code Quality Crisis — Defect patterns, 55.8% vulnerability rate, CWE concentration, trust trap, verification pyramid, environment setup
- Test-Driven AI Development — TDD as primary defense, spec-first development, AI TDD loop, behavioral contracts, Project 1
- Static Analysis & Automated Gates — Linting, SAST, AI review tools, hook-based verification, automated gauntlet, quality gates
- Property-Based Testing for AI Code — PBT vs example-based, Hypothesis, deriving properties, Anthropic agentic PBT, PBT for AI code, stateful testing
- Mutation Testing & Behavioral Verification — Why coverage lies, mutation tools, interpreting scores, AI-specific patterns, Project 2
- Security Testing AI-Generated Code — 55.8% vulnerability problem, CWE patterns, Z3 formal verification, generation-review asymmetry, security prompts, security gates
- Supply Chain Security & Slopsquatting — Slopsquatting attack vector, hallucinated package detection, dependency allowlisting, SBOM, lockfile enforcement
- CI/CD Pipelines for AI Code — Inner-loop validation, GitHub Actions quality gates, agent-CI/CD pattern, multi-agent test generation, intent verification, Project 3
- Testing Framework & Continuous Execution — Verification pyramid, reusable framework, continuous workflows, prompt library (testing), prompt library (review), master checklist
- Capstone: End-to-End AI Code Testing System — Production monitoring, incident response, AI code debt strategy, portfolio building, Project 4
Skills You Will Learn
- TDD for AI Code
- Property-Based Testing
- Mutation Testing
- Formal Verification (Z3)
- SAST/Semgrep
- Slopsquatting Defense
- CI/CD Quality Gates
- Intent Verification
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