Course · 7 chapters
Code Testen voor Agentische Ontwikkeling
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 voor agentic dev: start hier
Een oriëntatie van 12 minuten over het code-testing-leerpad — de write-verify-fix-feedbacklagen die AI-codeeragents eerlijk houden, en de volgorde waarin je ze leert.
- 2Testfundamenten
Beheers teststrategie, de testing trophy en hoe je geautomatiseerde tests schrijft die echt bugs opsporen.
- 3Statische analyse voor agentische ontwikkeling
Koppel Ruff, Biome, Pyrefly, ty, Semgrep en CodeQL als feedbackbronnen onder de seconde aan Claude Code en Codex.
- 4Pre-commit guardrails voor AI-agents
Koppel format, lint, type-check en test aan elkaar tot een gelaagd hook-skillpad dat Claude Code en Codex dwingt te fixen vóór ze committen.
- 5Coverage & mutation testing
De feedbackloop met twee tools die je laat zien waar tests ontbreken en of de tests die je hebt ook echt werken.
- 6AI-gestuurde testgeneratie
Van one-shot prompts tot feedback-gedreven loops — stuur, begeleid en review de systemen die nu je tests schrijven.
- 7Property-based en fuzz testing
Ga voorbij handmatig gekozen voorbeelden. Specificeer invarianten, laat een generator tegenvoorbeelden opsporen en combineer de discipline met agents die de properties voorstellen die je over het hoofd hebt gezien.
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.