Course · 7 chapters
Pruebas de Código para Desarrollo Agéntico
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
- 1Testing de Código para Desarrollo Agéntico: Empieza Aquí
Una orientación de 12 minutos al skill path de Testing de Código — las capas de retroalimentación write-verify-fix que mantienen honestos a los agentes de código con IA, y el orden para aprenderlas.
- 2Fundamentos de Testing
Domina la estrategia de testing, el testing trophy, y cómo escribir tests automatizados que realmente atrapan bugs.
- 3Análisis estático para desarrollo agéntico
Conecta Ruff, Biome, Pyrefly, ty, Semgrep y CodeQL como fuentes de feedback en menos de un segundo para Claude Code y Codex.
- 4Guardrails Pre-Commit para agentes de IA
Conecta formato, lint, type-check y tests en un skill path de hooks por capas que obliga a Claude Code y Codex a corregir antes de hacer commit.
- 5Cobertura y pruebas de mutación
El ciclo de retroalimentación de dos herramientas que te dice dónde faltan tests y si los que tienes realmente funcionan.
- 6Generación de tests impulsada por IA
De prompts únicos a bucles de retroalimentación — dirige, supervisa y revisa los sistemas que ahora escriben tus tests.
- 7Testing basado en propiedades y fuzzing
Ve más allá de los ejemplos elegidos a mano. Especifica invariantes, deja que un generador busque contraejemplos y combina la disciplina con agentes que propongan las propiedades que pasaste por alto.
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.