debugging-techniques

Debugging Techniques

Purpose

Provides systematic debugging workflows for local, remote, container, and production environments across Python, Go, Rust, and Node.js. Covers interactive debuggers, container debugging with ephemeral containers, and production-safe techniques using correlation IDs and distributed tracing.

When to Use This Skill

Trigger this skill for:

• Setting breakpoints in Python, Go, Rust, or Node.js code
• Debugging running containers or Kubernetes pods
• Setting up remote debugging connections
• Safely debugging production issues
• Inspecting goroutines, threads, or async tasks
• Analyzing core dumps or stack traces
• Choosing the right debugging tool for a scenario

Quick Reference by Language

Python Debugging

Built-in: pdb

# Python 3.7+
def buggy_function(x, y):
    breakpoint()  # Stops execution here
    return x / y

# Older Python
import pdb
pdb.set_trace()

Essential pdb commands:

• list (l) - Show code around current line
• next (n) - Execute current line, step over functions
• step (s) - Execute current line, step into functions
• continue (c) - Continue until next breakpoint
• print var (p) - Print variable value
• where (w) - Show stack trace
• quit (q) - Exit debugger

Enhanced tools:

• ipdb - Enhanced pdb with tab completion, syntax highlighting (pip install ipdb)
• pudb - Terminal GUI debugger (pip install pudb)
• debugpy - VS Code integration (included in Python extension)

Debugging tests:

pytest --pdb  # Drop into debugger on test failure

For detailed Python debugging patterns, see references/python-debugging.md.

Go Debugging

Delve - Official Go debugger

Installation:

go install github.com/go-delve/delve/cmd/dlv@latest

Basic usage:

dlv debug main.go              # Debug main package
dlv test github.com/me/pkg     # Debug test suite
dlv attach <pid>               # Attach to running process
dlv debug -- --config prod.yaml  # Pass arguments