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Stop guessing how software works. Build an evidence trail.
Reverse Engineering with AI is a practical guide to examining software, interfaces, and runtime behavior with an AI coding agent while keeping authorization, evidence, and uncertainty visible.
You will learn how to define a lawful question, select the right artifact, distinguish static evidence from observed behavior, inspect websites and Electron applications, read package and binary structure, trace one feature, and turn findings into a behavior-only specification. Guided labs show how to compare an implementation with the observed system without copying protected branding, secrets, or proprietary code.
The workflow is designed around REA and other evidence-producing tools, but the core method is durable: identify the target, preserve provenance, inspect the smallest useful surface, record limitations, and test every reconstruction independently.
Use AI to accelerate careful technical learning, interoperability, maintenance, preservation, and authorized security work-not to bypass access controls, licenses, or ownership.
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