comprehension

Natural Language Programming adds comprehension to context.

“It’s not vibe coding. It never was.
It’s Natural Language Programming.”

Open Interactive Notebook on GitHub → Open & Run in Google Colab View on nbviewer

GitHub renders it instantly. Colab lets you run every cell. nbviewer gives the cleanest static view.
Fork → duplicate cells → start practicing Natural Language Programming today.

The Contribution

Traditional programming (assembly mnemonics → C → modern languages) keeps context trivial by design. Natural Language Programming makes rich comprehension first-class.

This repository is the living reference: thesis, examples, templates, and most importantly — the Jupyter notebook that turns the idea into daily practice.

Value Ladder

30 seconds — grasp the core thesis on this page.
10 minutes — run the first examples in the notebook.
Ongoing — build your own comprehension agents, patterns, and workflows.

Interaction Guidelines

This is a professional open-source brand project under @FAETHFLEX.
All discussion, questions, and contributions happen publicly only via GitHub Issues and Pull Requests.
No private messages, emails, or off-platform contact will be accepted or responded to.