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 :)
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
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-improvementIf you aren't using multiple agents, subagents, and autonomous MCP abstractions to construct a detailed morphological model of your codebase, you'll never appreciate the sublime bliss of man-machine union that the enlightened among us here have come to know.
Pro-tip: move to an earlier timezone so you can get the real edge on your competition.
Everything else will be dated by Monday.
Is this serious or satire?
The tweet was in 2025, not 2024.
Yes, this manual was AI generated. However, the core ideas, first principles, and outline for this manual are all ..."
1. https://github.com/nicolasahar/morphic-programming/blob/main...
Thanks for helping alert us all to the sloppiness and deceit. And thanks to all who flagged.
>"Wrote this in a day"
>"So please forgive any imprecision or inaccuracies"
Um, no? You (TFA author) want people to read/review your slop that you banged together in a day and let the shit parts slide? If you want to namedrop some AI heavy hitter to boost your slop, at least have the decency to publish something you put real effort into.
https://github.com/nicolasahar/morphic-programming/commit/c3...
Tag them in tweets too
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.