Accessibility testing with coding agents

Accessibility testing with coding agents is most effective as a layered process that combines static analysis, browser automation, and human evaluation, since automated tools can identify clear technical defects but cannot independently establish full accessibility compliance. Teams should convert relevant WCAG 2.2 requirements into specific, observable behaviors for defined user flows, including keyboard navigation, focus management, semantic roles, accessible names, error handling, and responsive behavior across relevant states and environments. Agents can run linters and deterministic scanners, exercise critical paths with keyboard-only interaction, inspect accessibility trees, and capture screenshots or other evidence, while keeping testing scope aligned with the code changes. They can safely fix issues such as unlabeled inputs, incorrect heading order, improper controls, and missing focus handling, but decisions involving alternative text, reading order, product intent, or assistive-technology usability require designers, content owners, accessibility specialists, and independent reviewers. Findings should document the tested route, conditions, steps, expected and actual outcomes, evidence, and tool versions, with blocked checks clearly identified rather than treated as passing, while recurring automated QA can be triggered through repository or GitHub workflows.

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