u/H4D3ZS

**TL;DR:** Built an open-source IDE with native Ollama integration that runs at 7.9 MB RAM. No session limits, no cloud dependency required, and includes iPhone emulator for Windows/Linux users. [GitHub](https://github.com/H4D3ZS/vscodium-rust) | [Website](https://cyberifrit.xyz)

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## The Problem I Was Solving

I was frustrated with:

- AI IDEs that throttle you after X requests per day

- $200+/month API bills for serious development

- Needing a Mac just to test iOS apps

- IDEs eating 2GB+ RAM before writing a single line of code

So I built **Cyber-Ifrit**, a VSCodium-Rust based IDE with:

## Key Features

### 1. **Native Ollama Integration**

- Run Qwen, Gemma, Llama, Mistral locally

- **Zero session limits** - use it as much as you want

- **No internet required** - works offline

- Multi-model routing (switch between models instantly)

- 91.4% cheaper than cloud APIs via Neural VFS compression

### 2. **Agentic AI Workflows**

The AI doesn't just chat—it **does** things:

- `Audit Codebase` - scans for issues

- `Fix All Errors` - auto-debugging

- `Write Tests` - generates test suites

- `Git Commit` - intelligent commit messages

- `Refactor` - code improvements

All running locally via Ollama.

### 3. **iPhone Emulator on Windows/Linux**

- iPhone 12 emulator integrated directly into IDE

- No Mac hardware required

- UI is live, boot optimization in progress

- Test iOS apps without buying Apple hardware

### 4. **Insanely Lightweight**

[**See Task Manager screenshot**]

- **7.9 MB RAM usage** (yes, megabytes)

- **0% CPU when idle**

- Runs on any Windows/Linux machine

## How It Works

```bash

# Clone and build

git clone https://github.com/H4D3ZS/vscodium-rust

cd vscodium-rust

cargo build --release

# Run it

./target/release/cyber-ifrit

# In the IDE:

# 1. Go to Settings → AI Models → Ollama

# 2. Select your local models (Qwen, Gemma, etc.)

# 3. Start coding with agentic AI

https://reddit.com/link/1ty9smp/video/wp4xk9hqyl5h1/player

https://preview.redd.it/4edvw6rmyl5h1.png?width=1600&format=png&auto=webp&s=8f20de63fe6896be50edb9427667653f54486625