Matt hew

The End Of Prompt Engineering

Prompt engineering, the elusive craft of the snake taming the LLM.

Well, I've stared at the serpent long enough. I'm growing tired of playing this flute. And that's because there's a better way. In this post, I'm going to briefly talk about DSPy (Declarative Self-Prompting in Python).

DSPy isn't just a library. It's a philosophy that treats prompts as first-class, testable components rather than fragile strings glued together with hope and duct tape.

I'm going to show an example in Python, as the DSPy project is currently Python-focused and its syntax is pretty accessible, but the principles are not confined to Python (as you'll see in my repo below, which leverages the Ax project).

Thoughts on standardizing REST with machines

Minimal LSP Autocomplete In Vim / NeoVIm

Requires junegunn/vim-plug

delay component

animated wavy

cannabis api sample data

animated text (react spring)

animated file tree (react spring)

git line endings script

	import {
	useReducerWithEffects,
	// hand-wavey, but meant to be used by React to create something
	// external will produce async values sent to components
	createEffect
	} from 'react';

	function fetchUserEffect(id, parentRef) {
	const controller = new AbortController();
	const signal = controller.signal;