Learn LLDB - Expanded Project Guides
Generated from:
LEARN_LLDB_DEEP_DIVE.mdThis folder contains deep-dive guides for each project in the learning path.
Overview
These projects build a full LLDB workflow, from basic stepping to crash analysis, live process inspection, and advanced debugger automation with Python. Each project includes theory, architecture, and practical exercises so you can move from manual debugging to repeatable, scripted debugging.
Project Index
| # | Project | Difficulty | Time | Key Focus |
|---|---|---|---|---|
| 1 | The Basics - First Steps | Beginner | 1-2 hours | Stepping, breakpoints, inspection |
| 2 | The Crash - Crash Report Analysis | Beginner | 1-2 hours | Post-mortem debugging |
| 3 | The Hang - Attaching to a Running Process | Intermediate | 1 hour | Live attach/detach workflow |
| 4 | The Corruption - Using Watchpoints | Intermediate | 2 hours | Watchpoints and memory writes |
| 5 | LLDB Python Scripting | Advanced | 1 week | Custom LLDB commands |
| 6 | Custom Data Formatter | Expert | 1-2 weeks | Type summaries and synthetic children |
Prerequisites
- Basic C knowledge (stack/heap, pointers, compiling with
-g). - Comfort with command-line tools and running binaries.
- For Projects 5-6: Python basics and familiarity with object-oriented APIs.