This is the Architecture hub, part of our broader Coding collection. You'll find 8 architecture prompts written specifically for this workflow — each one structured to give the AI the role, audience, format and constraints it needs to produce output you can use immediately.
These prompts are built for software engineers, ML engineers and indie devs who want code, tests and architecture suggestions they can ship. They work across the major AI models — ChatGPT, Claude, Gemini and the leading image and video generators — and they hold up whether you're prompting in a chat window, an editor extension or a workflow tool. Pull these in during scoping, scaffolding, refactors and code reviews — anywhere a teammate would help.
Why these prompts work: each one starts with a clear role, names the audience or scene, defines the output format and adds 2–3 hard constraints. That structure is what separates a vague AI answer from a usable one. The library is curated so you don't have to test 30 versions of the same prompt to find the one that actually performs — that work is already done.
Expect production-style code, types, edge-case handling and at least a smoke test — written in the style you specify. You'll occasionally want to regenerate or refine, especially the first time you use a prompt with your own context. Treat each prompt as a starting structure: the variables and constraints stay, the topic and tone become yours.
Read each prompt before you copy it. Swap the placeholders for your real audience, product and constraints, and add one or two engineering-specific details from your own brief. The prompts here are designed to be edited — the more context you bring, the stronger the output.
If this is your first time using AI for architecture, start with the featured prompt below and adapt it to your context. Then explore the related use cases for adjacent workflows that often pair well with this one.
