🔍 Read the full analysis: How To Ask An AI Agent To Explain An Unfamiliar Project on ThorstenMeyerAI.com
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TL;DR
A ThorstenMeyerAI.com article dated October 19, 2026, describes how developers can use the open-source Reverse Engineer Anything (REA) toolkit with coding agents to investigate unfamiliar software. Its practical advice is to ask a narrow question, verify that the agent actually used REA, and distinguish observed behavior from inference and unknowns. The account of a QuickBooks-inspired accounting app is a case study reported by the article, not an independent evaluation of REA.
REA is described as an open-source project that connects tools for examining software to coding agents including Claude Code, Codex, Cursor and Gemini CLI. The source says the project provides a local Model Context Protocol (MCP) server, a command-line tool and an agent skill that guides an investigation. It lists support for several kinds of targets, including native applications, JavaScript and Electron apps, .NET and Android apps, firmware, saved network traffic, WebAssembly and SQLite databases.
The article’s central recommendation is to ask about one behavior and one design decision, rather than asking an agent to explain an entire program. For example, a developer might ask how an application handles a partial invoice payment, what data it stores, how it calculates the remaining balance and which conditions change the result. The guide recommends asking the agent to label findings as observed, inferred or unknown, then explain a complete example using concrete inputs and outputs.
As an example, the source describes Ledger Reborn, a local accounting app whose developer investigated QuickBooks Desktop for Mac 2024 using REA 6.4.0 and Ghidra. The article says the app’s profit-and-loss statement, balance sheet and trial balance matched Intuit’s official sample company account by account, to the cent. That result and the project details are reported by ThorstenMeyerAI.com; the supplied material does not include an independent audit of the comparison.
Infographic 01 · Reverse Engineer Anything
Five places to point REA first, and how to tell when the answer is wrong.
REA gives coding agents such as Claude Code and Codex tools to inspect programs, apps and browser sessions. Each investigation needs a finishable question and a check.
npx rea-agents@latest setupThe five investigations
What to ask, and the check that catches a wrong answer.
- 1
Ask a question you can finish
One behaviour, one decision it informs. Example: how a partial payment changes an invoice balance.
It’s wrong ifThe agent can't walk through one concrete example with real inputs and outputs. - 2
Get REA connected and confirmed
Run the guided setup, then doctor, then call binary_session inside the agent before any real target.
It’s wrong ifAnswers arrive without a single REA tool call: you're reading the model's guesses. - 3
Turn a business rule into a spec
Inputs, stored fields, formula, edge cases, plus test cases checked against the original's own output.
It’s wrong ifYour version and the original disagree on a test case, even by one cent. - 4
See what has to survive a copy
Find what an app writes to the clipboard and what it keeps locally, then design your own copy and paste.
It’s wrong ifThe explanation doesn't predict what lands in a plain text editor, an email and your app. - 5
Your own app, your equipment, an old program
Start with software you own or rely on. Ask what it sends, stores or calculates when you do one thing.
It’s wrong ifIt only works for the example you watched. Test with a new file or a read-only command first.
Sources: REA on GitHub (stars via GitHub API, 19 Oct 2026); REA installation guide; REA security policy.
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Why Narrow Software Investigations Help
When developers use an AI agent to build around an unfamiliar application, a plausible interface does not establish that the underlying rules are right. Stored records, calculations and conditional behavior can determine whether a feature works in real use, particularly in areas such as accounting where a small difference may change reported balances.
REA’s approach, as presented in the article, is to give the agent tools for gathering evidence from a target program and to make the developer’s question specific enough to test. This can help turn a familiar feature into a written specification. It does not make the agent’s explanation automatically accurate: developers still need to check its evidence and separate direct observations from interpretations.
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How REA Connects to Coding Agents
The source describes REA as a local analysis setup with an MCP server, command-line utilities and instructions for agents. Its version 6.7.0 was released October 18, 2026, according to the article. Setup requires Node.js 22.19 or newer; some native-program analysis also requires a disassembler such as Ghidra, Hopper or IDA.
The guide advises developers to verify both installation and the agent’s live connection. It says REA’s diagnostic command checks files and prerequisites, but not whether the agent can actually call the tools. The proposed check is to ask the agent to invoke REA’s binary_session tool before opening a target. If the agent answers without calling an REA tool, its response may be based on its existing knowledge or guesses rather than an inspection.
The article also warns that local analysis does not mean all information stays local: the agent receives results, and the model provider may process them under its own data policy. It quotes the project’s warning, “This is not a sandbox.” Running an untrusted program or analysis tool can carry risks under the user’s permissions.
““This is not a sandbox.””
— ThorstenMeyerAI.com, describing REA’s warning
software reverse engineering toolkit
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What the Report Does Not Establish
The supplied material is a practical guide and project case study, not an independent technical evaluation. It does not provide enough detail to verify the reported QuickBooks comparisons, assess how often REA’s findings are correct, or compare its results with other analysis methods. The source also says the project maintainer is anonymous, but the supplied text offers no further information about project governance or support.
It is also not clear from the material how results may vary across different software versions, targets or agent models. REA can return evidence for an investigation, but the guide’s own advice recognizes that inference and unknowns remain and that developers must test an explanation against concrete examples.
open-source software analysis tools
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How Developers Can Test the Method
The guide’s suggested next step is to install REA with its guided setup, approve the setup plan and check the prerequisites. Developers should then confirm that their agent can call REA directly and begin with a harmless application they own. For each investigation, they can state the behavior and the decision it informs, request a traceable explanation, and ask for a worked example.
Before relying on the result in a new product, developers should compare the agent’s explanation with observed outputs and test cases, while keeping sensitive data and untrusted programs in mind. The supplied article does not identify a further release or evaluation date; broader validation of the case study’s results remains an open step.
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Key Questions
What is REA?
Reverse Engineer Anything is an open-source toolkit described by ThorstenMeyerAI.com as connecting software-analysis tools to coding agents through an MCP server, command-line utilities and an agent skill.
How should I ask an AI agent to explain an unfamiliar program?
Ask about one specific behavior and the decision you need to make. Request the data involved, the calculation and conditions that change the result, and ask the agent to mark each statement as observed, inferred or unknown.
How can I tell whether the agent actually used REA?
Check that the agent calls an REA tool rather than answering from its own knowledge. The source recommends verifying the live connection inside the agent; it says the diagnostic command checks files and prerequisites but not the live connection.
Does local REA analysis mean my data stays on my computer?
Not necessarily. The article says the analysis runs locally, but results are sent to the agent and may also be handled by the model provider under its data policy. It cautions that REA is not a sandbox.
Has the QuickBooks case study been independently verified?
The supplied source reports that Ledger Reborn matched statements for Intuit’s official sample company account by account, to the cent. It does not provide an independent audit, so that result should be treated as a claim reported by the article.
Source: ThorstenMeyerAI.com
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