Friends Don’t Let AI Code in the Dark: Fixing the Token Burning Chaos of Agentic UI

When AI coding agents generate UI on the fly, they introduce highly dynamic, unpredictable accessibility bugs—from broken keyboard traps to unreadable, low-contrast color palettes. If your testing pipeline relies solely on traditional static linter rules, you are only finding half the issues and just throwing an AI at the problem is a token burning time bomb.

You need to combine the best of the AI agent with good context creation and deterministic tools to achieve what you need to with a reasonable cost.

It’s time to upgrade your UI stack.

This technical talk introduces an advanced testing pattern built for the agentic era. We’ll show you how to stop wasting tokens on expensive, endless quality loops and instead deploy cost-effective skills, tools and AI. By orchestrating Playwright and targeted LLM vision calls to dynamically audit live rendered applications rather than guessing at static code, this architecture catches 30% more real-world accessibility issues than axe-core with a fraction of the cost and near-zero noise. Stop babysitting your agent's code and start automating its validation efficiently.