The Long Tail of LLM-Assisted Decompilation
SMRTR summary
A detailed account of evolving workflows for decompiling Nintendo 64 games using AI agents like Claude. The author progressed from 25% to 75% code matching on Snowboard Kids 2 by implementing function similarity scoring, specialized graphics tooling for F3Dex2, and task orchestration systems. Despite advanced automation and multiple optimization strategies, progress stalled with 124 difficult functions remaining, primarily large graphics functions and complex mathematical operations that continue to challenge current LLMs.
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