LLMs may help most in the manual refinement phase of decompilation
OwariDa · x · 2026-07-23
The author argues that Hex-Rays’ raw decompilation output is not the real benchmark; the harder part is how well the result improves after hours of manual refinement.
They suggest LLMs can help with that interactive loop by assisting with type/struct inference, naming, and distinguishing code from data in edge cases—potentially combining human judgment with AI speed.
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