Continuous AI for accessibility: How GitHub transforms feedback into inclusion

This post details the implementation of a continuous AI workflow for accessibility feedback. It leverages GitHub Actions, GitHub Copilot, and GitHub Models to automate the process of capturing, analyzing, and prioritizing user feedback. Key contributions include using stored prompts and custom instructions for Copilot analysis, populating over 40 data points automatically, and integrating with project boards for visibility. The workflow also includes a submitter review step guided by AI-generated checklists and a feedback loop for continuous improvement of the AI's behavior.