The advantage of decompilation as a task is that you have a reference output you can validate against.

I would assume the approach, mechanisms, and quality of produced code is similar to general/prompted code generating.

I assume the produced code (and its quality) depends on the compiled code; how much was stripped or obfuscated, and what runtime are we talking about which may or may not have language constructs that guide structure. With little metadata or code structure left AI would shift more into it’s general patterns than if there is more metadata available that already defines structures or names.

The thought of integrating a deterministic decompiler and then use AI to structure it and make it more readable while verifying the output remains the same seems like an interesting extension or alternative workflow and toolchain.

I have not used these kinds of AI decompilation tools or workflows, but thinking purely from my background and general experience.

Now, with all that telemetry in place and a coding agent I can finally engage with production properly: not reactively when something goes wrong, but every day I can chat with the production, ask it about its concerns, about what is going on lately, if something feels wrong.

Good luck