mdx/ai
Foundation models, fine-tuning, agents, evals.
Foundation models, fine-tuning, agents, evals.
Tool-use, planning, memory, and agentic workflows.
Shipping, distribution, pricing, hiring.
Ethereum, rollups, DeFi, and on-chain design.
From async to data — practical Python in production.
Systems, embedded, web, and the borrow checker journey.
Product, interaction, motion — pixel accountability.
Research, IA, accessibility, and behavioural design.
Tips, libraries, plugins, variables, and dev mode.
Component design, design systems, and visual craft.
Modern CSS — container queries, cascade layers, subgrid.
Web animation, Framer Motion, GSAP, Lottie, and timelines.
Today we released Grok-4 weights under an Apache 2.0 license. The model is competitive with the frontier on reasoning and coding, behind on long-context recall,
Leverage is reproducible. Luck is not. Founders confuse them constantly, especially after a win, and especially in their second company. Specific knowledge, ac
The on-prem migration is done. Six weeks of pain, eighteen months of savings. Here's the cost breakdown, the hardware we chose, and the two things we'd do diffe
Every line of code is a liability. Every meeting is a tax. Every feature is a support burden. Simplify aggressively.
Eighteen months ago we ran our first eval harness against a handful of agent prototypes. Today twelve of those prototypes are in production serving real users.
Knowing what *not* to add to the kernel is worth more than knowing what to add. Taste is the compiler for intuition.
Discover communities across the MDX Forum.