GuideIntermediate

Debugging & Code Review with Claude Code

Only 3.1% of developers say they highly trust the accuracy of AI-generated code (Stack Overflow Developer Survey 2025), and 66% are frustrated by solutions that are "almost right, but not quite". Accepting everything without checking and rejecting AI entirely are both dangerous extremes. This guide teaches the professional middle ground: calibrated trust. Learn to detect hallucinations in code, review AI output with a dedicated checklist, debug with Claude Code as a tool (not an oracle), and decide when to regenerate and when to edit. The central mental model ("Managing an Intern") changes how you supervise AI code. 8 modules, 43 capsules, and a project where you perform a complete professional code review of a codebase with real problems.

lessons
43
modules
8
available in
English · Spanish
certificate
Yes
access
Free
Outcomes

What you'll be able to do

  • Why only 3% trust AI code and how to calibrate your own trust
  • The "Managing an Intern" mental model for supervising AI code
  • Circuit Breaker and Trust Calibration as complementary frameworks
  • Detect subtle hallucinations: fake imports, invented APIs, fabricated logic
  • A professional code review checklist for AI-generated code
  • Common error patterns: naming, edge cases, security holes
  • Systematic debugging with Claude Code: log analysis, stack traces
  • Subagents (the Explore agent) to investigate codebases
  • A decision framework: when to regenerate and when to edit by hand
  • Project: a complete professional code review of a codebase with problems
Before you start

What you need to bring

Requirements and materials

  • [Claude Code Foundations](https://nieva.team/en/courses/claude-code-foundations-guide) and [Prompt Engineering with Claude Code](https://nieva.team/en/courses/prompt-engineering-with-claude-code-guide) (or equivalent experience with Claude Code)
  • Recommended: [Testing with Claude Code](https://nieva.team/en/courses/testing-with-claude-code-guide), because this guide verifies with pytest
  • Experience writing your own code (so you have a basis for comparison)
  • Familiarity with basic debugging (print statements, logs)
  • Claude Code installed and configured
Content

The syllabus, module by module

Open any of them to see its lessons.

Common questions

What people usually ask

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