Building local AI tools has never been easier thanks to Kiro, the AI-powered coding assistant. I used Kiro to develop GGUF Loader, a privacy-first desktop app that runs open-source GPT models locally — no cloud, no setup, no data leaks.
🛠️ How Kiro Helped
Working with Kiro felt like gaining 1000 years of software development experience in just a few weeks. With Kiro, I was able to:
- Design modular architecture for backends and addons
- Generate UI components and Python scripts instantly
- Optimize performance for large models
- Automate documentation and spec creation
- Streamline testing and validation
🌟 Key Features of GGUF Loader
- Zero-setup installer for Windows & Linux
- Floating Smart Assistant: summarize, translate, or comment on text globally
- Addon system: install, activate, and manage addons easily
- Privacy-first: all processing happens locally
- Cross-platform ready: macOS support coming soon
🔮 What’s Next
- GPU auto-detection and acceleration
- Community addon marketplace
- Advanced AI workflows like RAG pipelines
- Voice command integration
Using Kiro, I could speed up development, reduce errors, and make GGUF Loader more powerful and accessible.
Check it out on GitHub: https://github.com/gguf-loader/gguf-loader
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