AI accelerates software reverse engineering but still requires supervision
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Artificial intelligence is automating part of reverse engineering by analyzing programs, identifying features and generating code without access to the original source code. MIT Technology Review Brasil cites developer Brandon Thomas, who used Anthropic’s Claude to create free, open-source versions of Adobe applications available on the ArtCraft platform. Tests by Creative Bloq found important gaps compared with the original products, including lower precision and missing features.
In another project, Maurice Heumann says he reconstructed 99% of the functions of Call of Duty: Modern Warfare 2 from executable files, with 83% matching the original byte for byte, after about three months. He says the work used up to 17 agents simultaneously and consumed more than 500 billion tokens. The case also revealed code that appeared correct but contained important errors, underscoring that AI can speed development but still requires testing, supervision and technical expertise.
Why it matters · editorial interpretation
The cases suggest that AI agents can reduce the time needed to reconstruct software, but they do not remove the need for technical validation: precision gaps and errors in seemingly correct code can undermine compatibility with the original. Testing and supervision therefore remain central to the process.
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