rgilliotte

Many people are working on that :-)

Apps written now will have mcp servers / AI compatibility when relevant

The issue that still needs solving is how to make llms interact with everything we already have and use (efficiently, not with screenshot, read, screenshot, ...)

Most of the time that means reverse engineering, either the app itself or the APIs it uses

From github (not my projects):

https://github.com/SimoneAvogadro/android-reverse-engineerin... => reverse engineer android app APIs from APKs

https://github.com/HKUDS/CLI-Anything => convert ooen-source GUI apps to clis

https://github.com/kalil0321/reverse-api-engineer => API reverse engineering from traffic (claude skills)

My take at the same issue (very young project):

Also api reverse engineering from traffic captures, with a focus on mobile app, safety & community mcp generation

https://getspectral.sh

https://github.com/spectral-mcp/spectral

Totally agree

The value for Anthropic / OAI is that they have a strong interest in becoming the "default" agent.

The one that you don't need to install, because it's already provided by your package manager.

Looking at the commit history, this came together pretty fast. Assuming it's AI-assisted (hard to know for sure), it's a good example of the opposite of the "AI replaces developers" narrative.

AI is making whole categories of projects viable that simply weren't before. Not because they were technically impossible, but because they were too time-consuming for a niche audience to justify the effort.

Thanks for the cool project! (testing now)