Reverse Engineer Anything Connects AI Coding Agents to Binary Disassemblers
Reverse Engineer Anything (REA) pairs coding agents like Claude Code and Codex with disassemblers like Ghidra and IDA, automating software inspection and decompilation tasks.

A new open-source initiative known as Reverse Engineer Anything (REA) has garnered significant attention across the security and development communities, accumulating more than 200,000 GitHub stars. Created by a developer using the handle morluto—who also curates the Awesome Reverse Engineering resource directory—the project bridges autonomous coding assistants with traditional disassembly and decompilation software.
Rather than forcing engineers to manually navigate complex assembly outputs, REA connects coding agents such as Claude Code and Codex directly to established reverse-engineering platforms, including Ghidra, Hopper, and IDA. By utilizing Model Context Protocol (MCP) servers, the project exposes local disassembly engines to LLM agents, enabling them to query routines, follow cross-references, trace control flow, and run iterative hypotheses against compiled binaries.
Automated binary inspection via MCP servers
REA operates locally and is designed to assist with binary investigation rather than guaranteeing full source-code recovery. The integration relies on MCP servers to establish bidirectional workflows between disassemblers and coding models. When analyzing an executable, an agent can inspect specific memory offsets, review function cross-references, and monitor program execution patterns to determine how an application functions under the hood.
Beyond native machine code, REA provides static analysis support for modern packaging formats and runtime environments. It can analyze JavaScript bundles, Electron applications, and .NET assemblies without requiring an external native disassembly engine. Project demonstrations on GitHub highlight practical capabilities across different architectures. In one showcase, REA traced the Electron clipboard implementation within the Notion desktop app. In another, it reconstructed an audio-panning routine from the game DX-Ball, generating test cases that matched all 3,205 original x86 scenarios and replicated all 63 compiled bytes. A third showcase extracted bullet-ring trajectory formulas from 16-bit DOS code in Touhou 4.
Community debate over cloud shifts and IP risks
The project has triggered active discussion on technical forums. On Hacker News, opinions remain divided. While some practitioners question whether REA provides substantial utility beyond prompting an agent to run Ghidra directly, others report noticeably higher success rates during automated analysis. Forum member revelationnow observed that tooling of this nature could influence architecture decisions, remarking: "I feel this is going to accelerate big tech moving apps to the cloud, at least one channel of reverse engineering will be cut off if there are no binaries."
On Reddit, several independent developers voiced concerns that lowering the barrier to binary analysis could make it easier for bad actors to clone games, circumvent license checks, or commercialize proprietary logic without authorization. Conversely, other engineers highlighted hardware research applications. Commenting on the shifting dynamics between software and silicon, AMD director Sreekanth Pannala stated: "What a difference a decade makes! We’ve gone from an era when software was king and hardware was a commodity to one where hardware is king and proprietary software is becoming increasingly replaceable."
Ethical considerations were also raised on LinkedIn by Cleverson Santos, creator of the Persistent Intelligence Project, who warned: "That is a murky boundary! I don't view crossing those lines favorably—and this is just the beginning; everything created to help human beings ends up being used against them in some way! I hope I’m not being too extreme, and this isn't a criticism—just an observation regarding the limits of what should or shouldn't be crossed."
What it means for developers
For security researchers and software engineers, REA demonstrates that binary inspection is shifting from manual disassembly navigation toward automated, agentic workflows. By giving models programmatic hooks into Ghidra, IDA, and Hopper, developers can accelerate tedious tasks like identifying cross-references, reconstructing missing documentation, and analyzing legacy dependencies.
As coding agents become more capable at parsing complex low-level code, experimentation with different model backends will be essential to evaluate accuracy across various processor architectures. Developers can try top AI models cheaply through one API at https://apixoai.online to evaluate how different systems handle structured logic and code-analysis workloads.
Because REA is published under the permissive MIT license, it is intended to support legitimate research, binary interoperability, and code reconstruction. However, the author emphasizes that users remain entirely responsible for acquiring legal authorization before examining target binaries and must comply with relevant intellectual property laws.
Source: Reverse Engineer Anything Project Brings AI Agents to Binary Analysis — InfoQ AI & ML. Written by the Apixo team from that report.
One key for Claude, GPT, GLM, DeepSeek and more. Pay per token with crypto.
Get your API key

