Course · 7 chapters
Code-Testing für Agentische Entwicklung
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 für Agentic Dev: Starte hier
Eine 12-minütige Orientierung zum Code-Testing-Lernpfad — die Write-Verify-Fix-Feedback-Schichten, die KI-Coding-Agenten ehrlich halten, und die Reihenfolge, in der du sie lernst.
- 2Grundlagen des Testens
Lerne Teststrategie, die Testing Trophy und wie du automatisierte Tests schreibst, die tatsächlich Bugs finden.
- 3Statische Analyse für agentische Entwicklung
Ruff, Biome, Pyrefly, ty, Semgrep und CodeQL als Sub-Sekunden-Feedbackquellen für Claude Code und Codex einbinden.
- 4Pre-Commit-Guardrails für KI-Agenten
Verdrahte Format, Lint, Type-Check und Tests zu einem mehrschichtigen Hook-Skill-Path, der Claude Code und Codex zwingt, Fehler zu beheben, bevor sie committen.
- 5Coverage & Mutation Testing
Die Zwei-Werkzeug-Feedbackschleife, die dir zeigt, wo Tests fehlen und ob die vorhandenen tatsächlich funktionieren.
- 6KI-gesteuerte Testgenerierung
Von One-Shot-Prompts zu feedbackgesteuerten Schleifen — steuere, überwache und reviewe die Systeme, die jetzt deine Tests schreiben.
- 7Property-Based & Fuzz Testing
Geh über handverlesene Beispiele hinaus. Spezifiziere Invarianten, lass einen Generator Gegenbeispiele jagen und kombiniere die Disziplin mit Agents, die die Properties vorschlagen, die du übersehen hast.
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.