Deleting 19k Lines of Dead Compiler Code Without Trusting the LLM
Summary
A case study on using AI and LLMs to safely delete large swaths of dead code in a compiler project. It outlines a five-step methodology (scope, node classification, scaffolding, surgical deletion, post-op cleanup) and emphasizes human verification and targeted testing to ensure no behavior changes.