Without the formidable copyright-infringing machine called ChatGPT, this reversing project would have taken maybe 10x more time, or maybe never seen the light of the day. I do not know how this LLM was trained, but it seems to know real-mode x86 assembly in depth, despite the relative scarcity of digitalized books and open-source software for this architecture. ChatGPT’s opinions were almost always pertinent while commenting both the static disassembly and DOSBox’s trace, and thankfully I managed to complete most of the analysis before mid-January, when the number of available messages was reduced.
todos/ tracks work items with priority and status. When the review step turns up issues, use them to decide what's worth fixing, and then use resolution commands to work through them.
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