cli-anything-lldb

You can automate LLDB debugging by using the LLDB Python API with click-based CLI parsing to produce machine-readable JSON results. This maintains persistent session state across commands for repeatable native program analysis.

Yes, you can load core dumps for postmortem analysis and capture backtraces as structured JSON. The session evaluates expressions and retrieves frame locals while preserving the debugging context.

Automated LLDB workflows support creating targets, launching or attaching to processes, and managing breakpoints. You can set, enable, disable, or delete breakpoints and execute step operations while the state persists.

Yes, a functioning LLDB Python API with click-based CLI parsing is required. This foundation enables stateful debugging sessions, allowing you to execute multi-step workflows and retrieve machine-readable results.

The best way to inspect native debugging state is to use structured LLDB commands that retrieve thread lists, scan memory, and evaluate expressions. This approach outputs findings in JSON for later analysis.

Standard LLDB sessions often lose context without state management. Using a stateful LLDB workflow framework preserves session state across target creation, process execution, and memory inspection steps.