nick2837

Thanks, will do that!

i agree. it's still very early with AI programming in general, so this might evolve in the next few years

thanks i fixed both!

what am i lying about exactly?

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

right at the top of Part 2: "The examples I give are going to be software engineering/coding specific, but they can be applied to any digital task."

you can genuinely use these principles for anything you want to do on your computer. I don't just use Claude Code for programming.

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

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

thanks i fixed this!

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

you can continue to believe in the old paradigm, or accept reality for what it is.

someone who abstracts themselves up will be able to move and ship 100x faster than you in the next 12 months.

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 :)