Automated accessibility checkers are a great start, but they can't catch everything. Why real world WCAG compliance requires thinking like a security tester, the future potential of AI, and the irreplaceable value of real users.
Accessibility isn't just a feature; it's a foundation of trust. While building to WCAG standards is a given, I've found that achieving true, meaningful accessibility goes far beyond just passing automated checks. It requires a deeper, more holistic approach.
The Blind Spot of Automated Tooling
Automated tools like Axe core, unit and end to end tests are essential for our development pipeline. They're fantastic for catching low hanging fruit missing alt tags, poor colour contrast, or invalid ARIA attributes.
But they have a critical blind spot: context.
An automated check knows a button has a label; it doesn't know that the label "Click Here" is meaningless without surrounding text. It can't understand how a series of complex components might interact to create a confusing journey for someone relying on a keyboard or screen reader.
Looking ahead, this is where I see massive potential for AI agents. Imagine an AI that doesn't just check for the presence of an aria-label, but uses an LLM to scan the entire page and understand the content. This AI could then evaluate if the label is truly descriptive. For example, it could identify a generic "Edit" button is within a "Savings Account" panel and flag it, suggesting a more specific label like "Edit Savings Account Nickname." This contextual awareness would bridge a significant gap, moving us from simple linting to genuine comprehension.
Approaching Accessibility Like Penetration Testing
Until these AI agents are a standard part of our toolkit, we should approach accessibility with the same rigour as we approach security. An automated scan is a good first step, but it's not the whole story.
This approach has three key phases:
Design with Intent: Accessibility must begin on the drawing board, focusing on logical user flows long before a line of code is written.
Implement with Empathy: As engineers, our job is to use semantic HTML, manage focus, and ensure keyboard navigability is seamless from the start.
Audit with Real Users: This is the most crucial step. The only way to truly know if your product is accessible is to conduct an audit with people who have actual accessibility needs. Their lived experience will reveal hurdles and frustrations that no developer or tool ever could.
The Key Takeaway
Automated tools get you on the playing field, and AI will soon make them smarter. But true accessibility is achieved when it's embedded in the design process, implemented with care, and validated by the people you're building for. Involving them isn't just a final check it's the most valuable part of the entire process.