GenAI

This is a synthesis of ideas I’ve overheard, read, discussed, and learned first-hand. It draws on over three years exploring LLMs for shaping code. My initial notes for this were part of an internal workshop I hosted for our engineering team at TORTUS Health, where we use and improve these techniques every day as we work to eliminate error in medicine. The shifting bottlenecks With the explosion in LLM capabilities, producing syntax got cheap. But good judgement did not. In many ways, AI makes the easy part easier and the hard part harder. ...

We all use LLMs to make code, but there are at least two distinct modes of working with them. Both are powerful, but conflating them is dangerous. It leads to burnout, loss of agency, security breaches, and disastrous outages. Instead, we want to enable better ideas, executed faster, at higher quality.

A sorcerer’s guide to wielding chaotic and powerful magicks.

Embracing the exponentials and vibecoding an entire 3D game in a few days with Aider, o3-mini, and Claude 3.7 sonnet.

Notes on the interconnection of generative AI’s two leading paradims.

How I learned Svelte and outsmarted Vercel to make a delightful frontend to OpenAI’s DALL-E … just for my mom.

Week 41 of 2024, Week 9 of RC.

How I built a command-line LLM on Apple Silicon for RC’s ‘Impossible Stuff Day’

Week 40 of 2024, Week 8 of RC.

Week 39 of 2024, Week 7 of RC.