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- REA hits 290k GitHub stars, but hands-on tests show AI reverse engineering still falls short
The open-source project REA (Reverse Engineer Anything) has spread rapidly on GitHub, passing 290,000 stars as of October 17, according to MIT Technology Review China. It does not invent a new decompilation technique; instead it connects existing reverse-engineering tools such as Ghidra to coding agents like Claude Code and Codex through MCP, letting the AI call those tools to analyze binaries and attempt to reimplement functionality. When a developer tested it against programs with public source, REA's analysis of the esmtool program from the OpenMW game engine missed real call relationships in 22 of 50 functions while still labeling the output “complete”; in other runs the model skipped REA entirely and gave unverified guesses. REA's author, Morluto, responded in the project's discussions that the prototype-style MCP tool-calling design no longer suits most agents. Separately, the viral ArtCraft apps pitched as open-source alternatives to Adobe and Microsoft products did not use REA; their developer describes the approach as a “clean-room reimplementation” that does not copy the original code.
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