Set up with an AI agent

Every install in these docs is a few lines of code in a known place. An agent can do it for you if it knows your project ID and where the docs are.

The prompt in your dashboard

Every project’s Settings → Install page has a prompt written for coding agents. It contains your project ID and the steps for your platform, so you can paste it into the agent as is. Read what the agent changed before you ship it; the quickstart for your platform shows what a correct install looks like.

Where agents can read these docs

• Context7: the docs are indexed from the public FeddyLab/feddy-docs repository. Agents with the Context7 tool can look up feddy directly.
• llms.txt: feddy.app/llms.txt lists every page with a one-line summary; feddy.app/llms-full.txt is the full text of every page in one file.
• The SDK sources: the iOS package at FeddyLab/feddy-ios is public. Every call the docs mention is in there.

What to check afterwards

• configure or init runs once, with your project ID, before any other Feddy call.
• The entry point is somewhere users already look for help, usually Settings.
• A message sent from a debug build shows up in your inbox. Reply to it and the reply shows up in the app.