Since its inception, scripting has been an integral part of LLDB. At the time, Python was chosen as the primary, and for a long time the only supported, scripting language. Python is used within LLDB to automate things, write custom data formatters, and extend core concepts like Processes and Threads with an implementation written in Python. Another powerful way to use LLDB is as a debugger library in Python, by importing the lldb module.

Top level issue to track bringing parity between the classic and parallel DWARF linker. Run dsymutil tests with both linkers These are issues uncovered by trying to run all the dsymutil tests with ...

On Apple platforms, the development experience was designed around making the compile-link-debug cycle as fast as possible. For debugging, that means that rather than processing large amounts of DWARF to link it into the final binary, the linker leaves the debug info in the object files and records a debug map that tells the debugger where to find it. When you’re debugging locally, that’s all you need. But if you want to archive the debug info for crash reporting or remote debugging, you need a way to produce a self-contained bundle.

Enhanced Memory Tagging Extension (EMTE) is a hardware-based security technology to protect against memory corruption vulnerabilities. Memory allocations are tagged with a secret key. When memory is accessed, the hardware validates the tag, and if it doesn’t match, stops the process. EMTE is the foundation of Apple’s Memory Integrity Enforcement (MIE). It’s available on A19 and M5 processors or later. Using MTE for Finding Bugs (E)MTE is not just valuable in a security context.

LLDB comes with built-in syntax highlighting for C-based languages. It does so using the embedded clang compiler. Other languages following this model of embedding the compiler, such as Swift, can take a similar approach. Motivation There are two important use cases where relying on the compiler for syntax highlighting doesn’t work: Some languages, like Rust and Zig, don’t have their own type system and instead reuse the Clang type system. LLDB has the ability to create synthetic stack frames representing any language, including interpreter languages like Python.

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