debugging-techniqueslisted

# 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 # 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)