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AI-Assisted Development

Prerequisites

This page assumes your AI agent already has QIT context. If not, see Getting Started to install the Claude Code plugin or point your agent to llms.txt.

Once set up, your AI agent can handle any QIT task autonomously. This page covers what's possible and how to get the most out of it.

What Your AI Agent Can Do​

With QIT documentation context, your AI agent can:

  • Run any QIT test: managed tests, test packages, or both
  • Create test packages: follows a structured methodology that includes user research, UI observation, and persona-based test design
  • Debug failures: read CTRF reports, analyze artifacts, identify root causes
  • Configure projects: generate qit.json with profiles, environments, and groups
  • Manage environments: start, stop, and interact with Docker test environments
  • Publish packages: validate and publish test packages to the QIT registry

How It Works​

The QIT plugin uses progressive disclosure from live documentation:

  1. The agent fetches the documentation index to find relevant pages
  2. It reads the specific docs needed for your task
  3. It acts on what it learned: running commands, writing code, interpreting results

This happens automatically. You don't need to paste docs or explain QIT concepts.

Other AI Agents​

Provide your agent with the documentation URL once:

Read https://qit.woo.com/docs/llms.txt — I want to test my WooCommerce extension with QIT.

Your agent reads the index, fetches the pages it needs, and has the same capabilities from there. The llms.txt index follows the llmstxt.org standard and stays current as QIT evolves.