prompting

/insights

/insights builds a report on how you've used Claude Code over 30 days: what you worked on, what slowed you down, and what to try next.

Context engineering

Context engineering is deciding what a model sees on each call. Why long chats get worse, and the habits that keep an agent sharp.

Critique loop

A critique loop has one model do the work and a second model review it before you accept it. A simple way to raise quality without more prompting.

Design systems

AI coding tools are weak at design by default. Pointing one at a design system gives it proven components instead of inventing every button.

Having it ask you questions

One extra line makes an AI interview you before it starts, so it surfaces what you forgot to mention instead of guessing at it.

Progressive disclosure

Progressive disclosure keeps a skill's full instructions out of every AI call. Give the agent a little up front and let it reach for the rest.

Voice input

Talking instead of typing gets far more context into a prompt. People speak around 150 words a minute, and type a fraction of that.

Writing good prompts

Most weak answers come from thin prompts. Role, context, task, and format turn a one-line question into something a model can act on.