GuideIntermediate
Debugging & Code Review with Claude Code
Only 3% of developers highly trust AI-generated code. This guide teaches the professional middle ground: calibrated trust. Learn to detect hallucinations, do code review with AI-specific checklists, debug with Claude Code as a tool (not an oracle), and decide when to regenerate vs edit. 8 modules, 43 capsules, and a project where you perform a complete professional code review of a codebase with real problems.
- 43
- lessons
- 8
- modules
- English · Spanish
- available in
- Free
- access
Outcomes
What you'll be able to do
- Por qué solo el 3% confía en AI code y cómo calibrar tu confianza
- Mental model "Managing an Intern" (MIT) para supervisar código AI
- Circuit Breaker y Trust Calibration como frameworks complementarios
- Detectar hallucinations sutiles: imports falsos, APIs inventadas, lógica fabricada
- Checklist profesional de code review para AI-generated code
- Patrones de error comunes: naming, edge cases, security holes
- Debugging sistemático con Claude Code: log analysis, stack traces
- Subagents (Explore agent) para investigar codebases
- Framework de decisión: cuándo regenerar vs cuándo editar manualmente
- Proyecto: code review profesional completo de un codebase con problemas
Before you start
What you need to bring
Requirements and materials
- Guías 1-5 del Claude Code Agentic Development Path completadas
- Experiencia escribiendo código propio (para tener criterio de comparación)
- Familiaridad con debugging básico (print statements, logs)
- Claude Code instalado y configurado
Content
The syllabus, module by module
Open any of them to see its lessons.
Common questions
What people usually ask
No limit. It's a free guide: come in whenever you like, as often as you like.
No. Modules run from easier to harder, but you can jump to the one you need. Progress is saved per lesson.
Whatever is needed is listed under “What you need to bring”, above. If nothing is listed there, you can start from zero.
In the WhatsApp group, and every two weeks there's a live with an instructor where questions get worked through.
Start whenever you like
What students say
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