Copilot · GitHub · GitHub Blog
Without the schema files in place, the agents would all attempt to arbitrarily communicate with each other
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Another vital aspect of creating the accessibility agent is understanding areas where agents can fall short.
Key facts
- Of the 55 total WCAG level A and AA Success Criterion, only 35 of them can be detected via deterministic automated code checkers
- Title II of the Americans with Disabilities Act is set to establish meeting WCAG 2.1 AA as the legal definition of done in April of 2027
- To date, the agent has reviewed 3,535 pull requests, with a 68% resolution rate
- When generating code, LLMs have an unfortunate bias towards producing accessibility antipatterns since every major LLM currently available is trained on decades of inaccessible code
Summary
It is an understatement to say agents have become a popular way of working with code. GitHub is currently piloting an experimental general-purpose accessibility agent to achieve two main goals:. Providing engineers with reliable, just-in-time answers to accessibility questions in the GitHub Copilot CLI and the Copilot VS Code integration. Catching and automatically remediating simple, objective accessibility issues before they go to production. For purpose number two, the accessibility agent is set to automatically evaluate changes that modify their front-end code.