Course · 7 chapters
Testes de Código para Desenvolvimento Agêntico
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
- 1Testes de Código para Dev Agêntico: Comece Aqui
Uma orientação de 12 minutos sobre o skill path de Testes de Código — as camadas de feedback escrever-verificar-corrigir que mantêm agentes de codificação IA honestos, e a ordem para aprendê-las.
- 2Fundamentos de Testes
Domine estratégia de testes, o troféu de testes e como escrever testes automatizados que realmente pegam bugs.
- 3Análise Estática para Desenvolvimento Agêntico
Configure Ruff, Biome, Pyrefly, ty, Semgrep e CodeQL como fontes de feedback sub-segundo para Claude Code e Codex.
- 4Guardrails de Pre-Commit para Agentes de IA
Conecte formatação, lint, type-check e testes em um pipeline de hooks em camadas que força o Claude Code e o Codex a corrigir antes de commitar.
- 5Cobertura & Testes de Mutação
O ciclo de feedback com duas ferramentas que mostra onde faltam testes e se os que você tem realmente funcionam.
- 6Geração de Testes com IA
De prompts avulsos a loops de feedback — conduza, supervisione e revise os sistemas que agora escrevem seus testes.
- 7Testes Baseados em Propriedades & Fuzzing
Vá além dos exemplos manuais. Especifique invariantes, deixe um gerador caçar contraexemplos, e combine essa disciplina com agentes que propõem as propriedades que você deixou passar.
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.