I approach software like a laboratory process: experimenting, failing fast, iterating, and occasionally landing on a deterministic build worth keeping. My repositories are working essays, not polished commercial showcases.
- Determinism First: If a task can be solved with a predictable script, never waste compute on a LLM.
- Privacy & Local Execution: Data belongs to the user. My tools prioritize local runtimes (Docker, local models, native scripts).
- Frugality & Zero Pollution: Minimal dependencies, ephemeral containers, and low cognitive overhead.
- Empirical Rigor: Continuous iteration and pragmatic architectures over over-engineered solutions.
- π drop-to-ocr β Zero-friction, drag-and-drop Windows batch wrapper around OCRmyPDF running in ephemeral Docker containers.
- π€ agent-builder β Framework for local agent execution and pragmatic automation architectures.
- βοΈ qse-studio β Systems and workflow management tools focused on quality and operational rigor.
- π Website: nicolas-hue.com
- πΌ LinkedIn: linkedin.com/in/nicolas-hue91