Desktop app to generate LLM fine-tuning datasets — got +16pp on HumanEval

I'm not a professional developer. I learned by doing — vibe-coding with AI assistance — and a few months ago I wanted to fine-tune Qwen2.5-Coder-7B on my own data. The problem: there's no good way to generate a quality dataset without writing custom scripts every time, and existing tools are either CLI-heavy or built for researchers, not curious tinkerers. So I built one. It actually worked: my fine-tuned model went from 55.5% to 72.3% on HumanEval (5 runs averaged, Q4_K_M GGUF via Ollama). Here