Story
The long tail of LLM-assisted decompilation
1 report
1 website
1 discussion
Latest report
Overview
Coding agents can effectively decompile Nintendo 64 games, achieving a one-shot decompilation success rate that increased code matching from 25% to 58% for Snowboard Kids 2. Workflow adjustments allowed further progress, raising the decompilation to approximately 75%, but subsequent advancements have stalled.
Summary from blog.chrislewis.au.
Reports
One report so far. Additional coverage will appear here when it is linked to this story.
blog.chrislewis.au
The long tail of LLM-assisted decompilation
Read report →
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · blog.chrislewis.au
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-02-17.
- Praise: Using AI for decompilation is a promising application, as it automates tedious tasks and allows for efficient problem-solving in generating human-readable C code.
- Praise: The potential of AI in recovering lost source code for games like Red Alert 2 showcases its value in preserving digital history and enhancing accessibility.
- Praise: Decompiling functions as individual problems allows for clear verification, making AI-assisted decompilation a practical and beneficial use case.
- Concern: Claude's limitations with large functions highlight concerns about its effectiveness in complex decompilation tasks, which could hinder its practical application.
- Concern: Some users feel that the discussion around AI's role in decompilation underestimates the complexities of the job, leading to frustration and a sense of disrespect.