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comprehension

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

Natural Language Programming adds comprehension to context — something that has always been trivial (and deliberately shallow) in traditional computer programming.

An open-source contribution that treats rich human comprehension as a first-class input to software creation.

Value Ladder (the deeper you go, the more you extract)

Level What you get Where to go
30 seconds Core thesis + quick overview This README
10 minutes Interactive scratchpad & live examples comprehension.ipynb
1 hour+ Hands-on practice & reusable templates /examples, /patterns
Ongoing / Mastery Deep essays, agent experiments, community /essays, /advanced, Issues

Get Started Right Now

Open the Interactive Natural Language Programming Scratchpad — GitHub renders it beautifully.
Duplicate cells, paste your own mental models, and feel the speed difference immediately.

Repository Map

  • /essays — Progressive deep dives (start with 01-core-thesis.md)
  • /examples — Side-by-side traditional vs NL (rate-limiter, etc.)
  • /patterns — Copy-paste comprehension templates
  • /advanced — Agent prototypes, research, future ideas
  • docs/ — GitHub Pages landing page

This is a professional open-source brand project by @FAETHFLEX (GitHub: MMXXTDMK).
All discussion happens publicly via GitHub Issues and Pull Requests only. No private contact.

License

MIT — see LICENSE.

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Natural Language Programming adds comprehension to context. Interactive Jupyter scratchpad + thesis + templates. Not vibe coding.

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