This repository is a research and benchmarking project, not a runnable application. Its primary purpose is to systematically quantify the performance costs of Rust's safety features relative to C/C++ and to document the strongest and weakest aspects of Rust code generation. The main artifacts are structured survey/analysis documents under features/, benchmark harnesses that build and run real-world Rust projects (zed, bevy, uv, tokio, regex, veloren, etc.) under modified compiler branches, custom LLVM IR counting tools, and Python scripts that normalize, compare, and plot benchmark results. It is classified as data_research because the executable code is research infrastructure rather than a product, though it has hybrid aspects of a software benchmarking harness.