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Your Vibe-Coded App Can Look Right and Fall Apart After Launch: How REA Reveals Real Software Decisions

REA helps uncover the hidden requirements and behaviors behind software before you build your own.

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A polished interface can conceal rules and dependencies that only become obvious after launch. Nate B. Jones demonstrates REA, a tool that lets an agent inspect accessible client-side software and explain how selected behaviors work.

Examples range from an Android authenticator to Notion’s richer clipboard data. They show why “copy and paste” or “add a percentage button” are incomplete requirements: a builder must decide which relationships travel with data and how behavior changes with context.

The approach can inform a business tool or answer a narrow engineering question. An investigation of QuickBooks, for instance, helped inspire an independent accounting implementation in Python and SQLite. The goal is not to reproduce a screen, but to understand relevant behavior and choose what to build.

REA is also framed as a learning tool. Start with a concrete question and investigate only as deeply as the next decision requires. The method described examines accessible client-side code; it does not expose private server code or authorize attempts to access it.

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