I've been building with CLI AI agents (Claude Code specifically) for several months and noticed some powerful patterns emerging that have 10x’d my productivity.
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
LOL, this is the list to keep in your head for this so called "manual". Best of luck of those who will work through this. BTW, Karpathy made that comment in 2025 not 2024.
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
If 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.
That is so January 1. Get with the program. Your approach is obsolete. You will fall behind in the global arms race. It's almost January 3, it's time for a new methodology!
Pro-tip: move to an earlier timezone so you can get the real edge on your competition.
> If 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.
Without a winking smiley or other blatant display of humour, it is utterly impossible to parody an AI hyper-enthusiast in such a way that someone won't mistake for the genuine article.
>"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.
Ah. My bad, yelling at the messenger. But the actual "author", who might also be the submitter (nick = Nicola?), has some explaining to do. There's a lie in the submission title, and the same lie in the github readme intro.
Thanks for helping alert us all to the sloppiness and deceit. And thanks to all who flagged.
You almost had me there, I'll admit, but then I looked at your (short, new) comment history for a Poe's Law check. A much-needed perspective around here! Keep it up, and good luck staying on the right side of the site guidelines -- your shtick is close to the edge, but very refreshing if done well.
English - or better put: human language - is not the "new code". Since the inception of programming a person could ask another to write code.
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
I've been building with CLI AI agents (Claude Code specifically) for several months and noticed some powerful patterns emerging that have 10x’d my productivity.
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 :)
You have source code for this kind of system?
[dead]
LOL, this is the list to keep in your head for this so called "manual". Best of luck of those who will work through this. BTW, Karpathy made that comment in 2025 not 2024.
AI in 2026 is really all about morphability.
If 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.
That is so January 1. Get with the program. Your approach is obsolete. You will fall behind in the global arms race. It's almost January 3, it's time for a new methodology!
Pro-tip: move to an earlier timezone so you can get the real edge on your competition.
Genuine Agent Zen is when your instructions .md contains but a single line, "Do!"
Everything else will be dated by Monday.
> If 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.
Is this serious or satire?
Without a winking smiley or other blatant display of humour, it is utterly impossible to parody an AI hyper-enthusiast in such a way that someone won't mistake for the genuine article.
https://en.wikipedia.org/wiki/Poe's_law
Tell me you don't use Claude Code without telling me you don't use Claude Code.
No need to be dismissive.
> Inspired by Andrej Karpathy's tweet[0] on Dec 26, 2024
The tweet was in 2025, not 2024.
[0] https://x.com/karpathy/status/2004607146781278521
From the author: "A Few Disclaimers (1)
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...
>"Used AI"
>"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.
You are not talking to the author. The comment was a quote from TFA, written (or, well, prompted) by someone else.
Okay, so the submitted title is a lie? "I wrote the manual..." Would you consider changing it to something more honest?
It's not me who decides. I just pointed out that the irrelevant date is related to the AI generated nature of this text.
Ah. My bad, yelling at the messenger. But the actual "author", who might also be the submitter (nick = Nicola?), has some explaining to do. There's a lie in the submission title, and the same lie in the github readme intro.
Thanks for helping alert us all to the sloppiness and deceit. And thanks to all who flagged.
The person you are responded to isn't the author of the post.
Fair point, but neither is this lying "Nicola Sahar" character.
Oh come on.
Come on and what? We are dazzled by this cool new tech and so now precision in speech no longer matters?
Human language is the new code; precision in speech is outdated and irrelevant
You almost had me there, I'll admit, but then I looked at your (short, new) comment history for a Poe's Law check. A much-needed perspective around here! Keep it up, and good luck staying on the right side of the site guidelines -- your shtick is close to the edge, but very refreshing if done well.
It would be nice if there were a domain specific language that could help with the internal consistency problem
Pls consider donating this to the Linux foundation and making tons of announcements about it.
Tag them in tweets too
Thanks for sharing
No. Just no. You wrote a manual for using AI for software development is all, limited to a specific approach.
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.