Course · 7 chapters
Tests de code pour le développement agentique
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
- 1Tests de code pour le dev agentique : commence ici
Une orientation de 12 minutes sur le parcours Code Testing — les couches de feedback écriture-vérification-correction qui empêchent les agents de codage IA de tricher, et l'ordre dans lequel les apprendre.
- 2Les fondamentaux du testing
Maîtrise la stratégie de test, le testing trophy, et comment écrire des tests automatisés qui attrapent vraiment les bugs.
- 3Analyse statique pour le développement agentique
Connecte Ruff, Biome, Pyrefly, ty, Semgrep et CodeQL comme sources de feedback sub-seconde pour Claude Code et Codex.
- 4Garde-fous Pre-Commit pour les agents IA
Connecte le formatage, le lint, le type-check et les tests dans un pipeline de hooks en couches qui force Claude Code et Codex à corriger avant de commiter.
- 5Couverture & Tests de Mutation
La boucle de feedback à deux outils qui te dit où les tests manquent et si ceux que tu as fonctionnent vraiment.
- 6Génération de tests par l'IA
Des prompts one-shot aux boucles pilotées par le feedback — pilote, supervise et révise les systèmes qui écrivent désormais tes tests.
- 7Tests par propriétés et fuzzing
Dépasse les exemples choisis à la main. Spécifie des invariants, laisse un générateur traquer les contre-exemples, et associe cette discipline à des agents qui proposent les propriétés que tu as manquées.
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.