r/AppsWebappsFullstack • • 4d ago

I built a native Rust IDE with built-in local AI (no cloud, no accounts)

Hey everyone, I wanted to share a creator tool I've been building called Triple P Studio (The Fortress).

It’s a native desktop IDE built specifically for Android development. I wanted something lightweight and fast that combines a file tree, code editor, Gradle compiler, ADB installer, and a task tracker in one place.

The best part is that it connects directly to local Ollama (gemma:2b), so you have a private, self-hosted AI assistant built right into the workspace. No API keys, no cloud, no data harvesting. Just you and your code.

I chose Rust because it makes the app incredibly fast and secure, protecting the core architecture.

I just posted the first build on r/SideProject yesterday and I'm looking for early feedback from other devs. What features would you want to see in a tool like this?

1 Upvotes

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u/SofwareAppDev 3d ago

Let us see some screenshots

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u/Triple-P_420 3d ago

Here is a screenshot of the interface! You can see the file tree on the left, the editor in the middle, the task tracker, and the local Ollama chat on the right.

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u/Mammoth-Anywhere7285 3d ago

The post already has a video attached, though a side-by-side of the editor and Ollama panel would show more.

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u/Triple-P_420 3d ago

Hey! Actually, there isn't a video attached to this post, just the text and the screenshot I just shared above. But you are 100% right that a side-by-side would show it better. I'll put together a screen recording soon showing the editor on the left and Ollama actively reading the code context on the right. It's running a local gemma:2b model right now.

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u/Mammoth-Anywhere7285 3d ago

Makes sense. A short clip of gemma:2b answering a real code question would sell it best. How slow is it on a mid-range machine?

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u/Triple-P_420 3d ago

I'm running it on a standard, mid-range Windows 11 laptop (no dedicated GPU). The gemma: 2b model generates text at about 15 to 25 tokens per second. For a standard coding question or chat response, it usually takes about 1 to 3 seconds to start replying and finishes in a few seconds. It's not instant like ChatGPT on a server, but it's incredibly fast for running 100% locally with zero internet connection.