I like turning complex technology into practical tools, especially AI developer tooling, desktop apps, native utilities, and open-source projects that solve real problems.
- 🔨 Currently building: AI coding tools, CLI / API gateways, and desktop productivity software
- 🧠 Main stack: TypeScript / Go / Rust / Vue / Tauri
- 🎯 I enjoy making complex, high-friction tools simpler and easier to use
- 🌱 Currently interested in: AI agents, native GUIs, developer workflows, and automation tools
I do not focus on just one kind of project. For me, programming is mostly about building tools:
- Bridging AI coding workflows so different models and clients are easier to connect
- Giving command-line capabilities a more approachable visual interface
- Building lightweight, native, fast-starting desktop tools
- Creating open-source projects that are actually useful, not just demos
- Building tools that reduce friction instead of adding more layers
- Making powerful systems feel simple and approachable
- Keeping software lightweight, practical, and fast to use
- Treating developer experience and product experience as equally important
The projects I like most usually have these traits:
- Clear structure instead of feature pile-up
- Tools that are genuinely usable, not just demos
- Lightweight, direct solutions with fewer unnecessary dependencies
- More attention to workflow and user experience, not just “it runs”
I enjoy exploring ideas across AI tooling, automation, desktop software, and developer workflows. I like learning by building, refining rough ideas into tools that feel clean, useful, and worth keeping.
If you like these directions too, feel free to explore my projects, open an issue, send a PR, or just leave a star.
I like turning interesting but inconvenient things into interesting tools people can actually use.