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Tutorial resources · by Signal with Gabel

Reverse Engineer Anything: How REA Helps AI Agents

A short explainer on REA, an open-source MCP tool that plugs AI coding agents into reverse-engineering tooling such as Ghidra, Hopper and JavaScript analysis. It walks through two published examples—Notion's Electron clipboard bridge and a DX-Ball sound-pan function—and discusses why native binaries and JavaScript need different analysis approaches, what 3,205 behaviour cases were checked, and the limits of reconstructing a whole app. Practical advice: start with one feature, demand code evidence, list unknowns and compare behaviour.

Translated

About this case

Signal with Gabel walks through REA (Reverse Engineer Anything), an open-source MCP server that connects AI coding agents to software-analysis tools. The video covers how REA MCP links Ghidra, Hopper and JavaScript analysis; a Notion Electron app clipboard-bridge example; a DX-Ball sound-pan function example; the 3,205 behaviour cases the project reports; and where full-app reconstruction breaks down. The presenter notes the case-study results come from the project rather than a fresh benchmark. Chapter markers run from 0:00 to 2:35, closing with a recommended workflow (pick one feature, ask for code evidence, list unknowns, compare behaviour).

Setup

See the original source for installation instructions.

Original text / README

Reverse Engineer Anything: How REA Helps AI Agents

Reverse Engineer Anything connects AI agents to software analysis tools. Here is what REA actually helps you recover.

Reverse Engineer Anything uses MCP to help a coding agent inspect software, follow evidence and test a reconstruction. This explainer covers reverse engineering with AI through two published examples: Notion's Electron app clipboard bridge and the DX-Ball sound-pan function.

Learn how REA MCP connects the tools, why native binaries and JavaScript need different analysis, and what a passing function test says about a complete app. The case-study results are reported from the project, not a new benchmark performed for this video. Sources checked October 13, 2026.

Trying to reverse engineer an app? Start with one feature, ask for code evidence, list the unknowns, and compare behavior.

Which feature would you investigate first?

0:00 Reverse Engineer Anything explained 0:25 REA MCP and AI agents 0:42 Ghidra, Hopper and JavaScript analysis 0:57 Notion Electron app: clipboard example 1:25 DX-Ball reverse engineering example 1:47 3,205 behavior cases: what was checked 2:03 Limits of reconstructing an app 2:19 Start with one feature 2:35 Evidence and verification

More AI explainers from Chriss Gabel: https://www.youtube.com/@chrissgabel

Build with AIESCU: https://aiescu.com/

GeekBye: https://geekbye.com/

Follow Chriss: https://www.instagram.com/chriss.gabell/ https://x.com/chrissgabel

#ReverseEngineerAnything #AIAgents #ReverseEngineering

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