Stuff like …

1. Morphability - natural language as executable, morphable code 2. Abstraction - encapsulating tasks into reusable commands 3. Recursion - stacking abstractions for leverage 4. Internal Consistency - the immune system of your AI system 5. Reproducibility - crash-resilient by design 6. Morphic Complexity - knowing when you've over-engineered 7. End-to-End Autonomy - what your system can do without human intervention 8. Token Efficiency - maximizing useful work per token 9. Mutation & Exploration - controlled self-improvement

Link: https://github.com/nicolasahar/morphic-programming

its free and i dont need anything from you except genuine feedback

also included system design patterns, psychological tips, and example commands :)

  Morphability - natural language as morphable code
  Abstraction - tasks become reusable commands
  Recursion - stack abstractions for leverage
  Internal Consistency - prevent system drift
  Reproducibility - crash-resilient design
  Morphic Complexity - recognize over-engineering
  E2E Autonomy - measure actual capabilities
  Token Efficiency - maximize work per token
  Mutation & Exploration - controlled self-improvement

The tweet was in 2025, not 2024.

[0] https://x.com/karpathy/status/2004607146781278521

This manual is hallucinated nonsense.

The only interesting part is how people uneducated in computers and mathematics always seem to fall into the topic of recursion with AI

You did not write a manual for applying agentic AI more broadly and generally, which is what it is about. You completely missed the mark.

Tag them in tweets too