codex_py2cpp

Why we included this project

If you have a Python script that runs hot and you have been putting off a rewrite in C++, this small utility shows one way an LLM can help bridge that gap. It reads a Python file, builds a prompt from it, and sends that to OpenAI Codex, then takes whatever C++ comes back and tries to compile it with g++, saving only the versions that build successfully into a runnable executable. That compile-and-keep step is the genuinely useful part: instead of handing you raw generated code to sort through, it filters for at least syntactic soundness on your own machine. The project itself warns that the conversions are not robust, so treat the output as a starting point to review and test rather than trusted production code. It is best suited to developers who want to experiment with model-driven code translation and speed up simple compute-heavy scripts, not teams looking for a dependable Python-to-C++ converter.