Axe-con Mini: dev-day

You’ve seen them before. Confusing and frustrating design patterns that seem to be chasing you everywhere you go, from one website to another. Perhaps it’s a birthday selector dropdown that starts in 2025, or a disabled submit button that never communicates what's actually wrong, or tooltips that — once opened — always cover the input field just when you need to correct a mistake. They are everywhere, and they are annoying, often tossing us from one dead-end to another, in something that seems like a well-orchestrated and poorly designed mousetrap.

In this talk, we’ll take a closer look at some frustrating design patterns and explore better alternatives, along with plenty of examples to keep in mind when building or designing one. We’ll look into FAQs, AI accessibility, restrictive password requirements, unusable sliders, poor inline validation, invisible tooltips, broken filters, and of course, parallax and scrolljacking. You’ll walk away with a packed toolbox of techniques that you’ll be able to apply to your projects right away. 

Get accessibility at the speed of AI. Learn how to pair GitHub Copilot and VS Code with the axe MCP Server to produce clean, accessible code that meets enterprise compliance standards. This session will walk through how this enterprise-ready Agentic AI workflow—powered by axe DevTools—catches and fixes accessibility issues as you code, eliminating costly rework and making it the only compliant solution for enterprises in the Agentic AI space.

Salesforce is propelling accessible code forward by synergistically incorporating a Visual Studio plugin, Agentforce for Developers, into the SDLC to assist developers with creating better user experiences through AI and agents.  Within the plug-in developers prompt for accessibility, and our AI agent, which is grounded, trained, and evaluated on accessibility guidelines, internal Salesforce standards, axe-core rules, and our own lightning web components, scans the code and offers suggested fixes, if necessary. The developer can then choose whether or not to accept the suggested code change.  We’re shifting even further left from automation testing and working with code before it even compiles!

AI is raising the bar for automated accessibility testing. It expands test coverage, speeds up processes, and integrates checks directly into developer workflows—so you can catch more issues as you code, without breaking your flow. And we’ve only scratched the surface of what’s possible.

At Deque, we’re pushing the limits of AI-driven accessibility to help developers work faster and smarter. In this session, we’ll explore what developers can expect as AI takes on a bigger role—from advanced rules that flag issues previously out of reach, to intelligent guided tests that accelerate remediation. You’ll walk away with a better idea of how to leverage AI to make accessibility testing faster, smarter, and more efficient in your daily workflows.