I’ve been working on a side project called EmberScale AI that aims to make reverse engineering and binary analysis a little less painful.
The idea is to integrate AI helpers into tools like Ghidra, where most of us already spend a lot of time. Instead of manually renaming, retyping, and annotating every function, EmberScale can batch process and provide guided explanations of code flow. Think of it as a layer that speeds up repetitive tasks and leaves you more time for the hard parts of reversing.
A couple of things I’m focusing on: • Batch renaming / retyping of functions and variables for faster navigation. • Precision decompilation of selected functions with annotated context. • QA-style querying (“what does this function appear to do?”) for quick checks. • Keeping it compatible with Ghidra’s script manager (no invasive installs).
I’m not here to pitch or sell anything — just wanted to share what I’ve been building and get feedback from people who actually reverse engineer for work or research. • What do you think about integrating AI in this space? • Are there pain points in your Ghidra workflow where you’d actually want AI involved? • Any concerns (e.g., trust, reproducibility, reliance on AI suggestions) you’d raise?
Curious to hear how the community feels about this direction.
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