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
i'm working on it. but the fastest thing you can do is download the guide (markdown file) and have Claude Code review / incorporate it into its own Claude.MD
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 Your approach is obsolete.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.
i wrote the manual on notion and asked it to put it in a markdown file and fix my spelling and grammar. if you read the disclaimer full, i specifically state i did not use it for brainstorming or adding net new ideas
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.
i genuinely wrote the thing myself. i wrote it in notion and had lots of spelling/grammar mistakes and no formatting, so i asked claude code to put it into a markdown file and polish the writing. im not going to sit here and do this myself bc this is not my full time job and im just trying to get my ideas out into the world
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.
>"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.
i genuinely wrote this in a day. ive been in ai for 9 years, well before chatgpt came out. i used Claude Code to turn it from my notion draft (spelling mistakes, no formatting, etc) into a well-formatted markdown file. you don't need to believe me, move on with your life. the guide is free and is meant to genuinely help someone use AI in a better way
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 :)