Course · 7 chapters
Code testing per 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 per lo sviluppo agentic: comincia qui
Un orientamento di 12 minuti allo skill path Code Testing — gli strati di feedback write-verify-fix che tengono onesti i coding agent AI, e l'ordine con cui impararli.
- 2Fondamenti di testing
Padroneggia la strategia di test, il testing trophy e come scrivere test automatici che trovano davvero i bug.
- 3Analisi statica per lo sviluppo agentic
Collega Ruff, Biome, Pyrefly, ty, Semgrep e CodeQL come sorgenti di feedback sotto il secondo per Claude Code e Codex.
- 4Pre-commit guardrails per gli AI agent
Collega format, lint, type-check e test in uno percorso di hook stratificato che costringe Claude Code e Codex a sistemare prima di fare commit.
- 5Coverage e mutation testing
Il feedback loop a due tool che ti dice dove mancano i test e se quelli che hai funzionano davvero.
- 6Generazione di test guidata dall'AI
Da prompt one-shot a loop feedback-driven — guida, supervisiona e revisiona i sistemi che ora scrivono i tuoi test.
- 7Property-based e fuzz testing
Vai oltre gli esempi scelti a mano. Specifica invarianti, lascia che un generatore vada a caccia di controesempi, e accoppia la disciplina con agent che propongono le proprietà che hai mancato.
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.