Course · 7 chapters
Code Testing for Agentic Dev
Stop Claude Code and Codex from shipping bugs by wiring static analysis, coverage, mutation, pre-commit hooks, and property-based tests. 7 chapters, practitioner, for engineers.
What you'll be able to do
- Design test strategies that catch real bugs
- Wire static analysis into agent loops
- Build pre-commit guardrails for AI agents
- Run mutation testing on your suites
- Review AI-generated tests with confidence
- Apply property-based and fuzz testing
What's inside
- 1Code Testing for Agentic Dev: Start Here
A 12-minute orientation to the Code Testing skill path — the five feedback layers that keep Claude Code and Codex honest, and the order to learn them in
- 2Testing Foundations
Test strategy, the testing trophy, and writing automated tests that actually catch bugs
- 3Static Analysis for Agentic Development
Wire Ruff, Biome, Pyrefly, ty, Semgrep, and CodeQL as sub-second feedback sources for Claude Code and Codex
- 4Pre-Commit Guardrails for AI Agents
Wire format, lint, type-check, and test into a layered hook stack that forces Claude Code and Codex to fix before they commit
- 5Coverage & Mutation Testing
The two-tool feedback loop — coverage shows where tests are missing, mutation shows whether the tests you have actually catch bugs
- 6AI-Driven Test Generation
From one-shot prompts to feedback-driven loops — drive, supervise, and review the systems that now write your tests
- 7Property-Based & Fuzz Testing
Move past hand-picked examples — specify invariants, let generators hunt counterexamples, and pair the discipline with agents that propose the properties you missed
Frequently asked questions
- What will I learn in this code testing course?
- You build five feedback layers that catch bugs in AI-written code: a test strategy with automated tests, static analysis using tools like Ruff, Semgrep, and CodeQL, layered pre-commit hooks, coverage paired with mutation testing, and AI-driven test generation plus property-based and fuzz testing. Every layer is shown applied to Claude Code and Codex output.
- Who is this path for?
- It is built for software engineers who use AI coding agents like Claude Code and Codex and want guardrails that keep generated code correct. It sits at a practitioner level, so it assumes you already write and run code day to day.
- Do I need prior experience or to know how to code?
- Yes. This is a practitioner-level path for engineers, not a beginner intro. You should be comfortable writing code, running a test suite, and working at the command line before you start.
- How long is the course and is there a certificate?
- The path has 7 chapters totaling about 142 minutes, roughly 2.4 hours, including a 12-minute orientation chapter. You earn a certificate of completion when you finish all chapters.
- Is this course free?
- No, this is a paid path included with an AI Academy subscription. It covers static analysis, coverage, mutation testing, pre-commit hooks, AI test generation, and property-based testing across all 7 chapters.
Earn a certificate
Complete all chapters to receive your certificate of completion.