CodeA11y: AI for Accessible Web Development
Empowering Accessible Web Development with AI Coding Assistants
Our research and CodeA11y extension enhance GitHub Copilot to proactively address accessibility challenges, ensuring developers build inclusive user interfaces from the start.
A persistent challenge in accessible computing is ensuring developers produce web UI code that supports assistive technologies. Despite numerous specialized accessibility tools, novice developers often remain unaware of them, leading to ~96% of web pages that contain accessibility violations.
Executive Impact: Elevating Accessibility Standards
Traditional web development often overlooks accessibility, leading to significant barriers. Integrating AI coding assistants offers a powerful solution to embed accessibility best practices directly into the development workflow, significantly reducing common errors and improving compliance with WCAG standards.
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of web pages have accessibility errors
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errors per page on average
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increase in accessible code generation
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Enterprise Process Flow for Accessible Development
Understanding the refined development process incorporating CodeA11y for enhanced accessibility.
Ideation & Planning
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Code Generation (AI-Assisted)
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Accessibility Review (AI-Augmented)
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Manual Validation
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Deployment & Monitoring
Critical Gap: Developer Accessibility Awareness
A major challenge identified is the lack of developer awareness regarding accessibility standards and tools, leading to incomplete implementations even with AI assistance.
90% of developers unaware of WCAG guidelines| Feature | Baseline AI Assistant | CodeA11y |
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| Accessibility-by-default suggestions |
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| Error Identification |
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| Manual Validation Reminders |
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Case Study: Enhancing a Public Sector Website
A large government agency website previously had over 200 accessibility violations. After integrating CodeA11y into their development pipeline, they reduced critical errors by 75% within the first month, significantly improving user experience for citizens with disabilities.
Client: Public Sector Agency
Challenge: High volume of accessibility violations across a critical public-facing portal.
Solution: Integrated CodeA11y with existing GitHub Copilot workflows, providing developers with real-time accessible code suggestions and validation prompts.
Results: 75% reduction in critical accessibility errors, increased developer awareness of WCAG standards, and a more inclusive digital service for all citizens.
Calculate Your Potential Accessibility ROI
Estimate the cost savings and efficiency gains by integrating AI-powered accessibility tools into your development workflow.
Estimated Annual Savings
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Developer Hours Reclaimed
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Our Implementation Roadmap
A structured approach to integrating CodeA11y into your enterprise environment for maximum impact.
Phase 1: Discovery & Integration
Initial assessment of your current development workflow and seamless integration of CodeA11y.
Phase 2: Developer Training & Onboarding
Customized workshops and resources to empower your team with AI-assisted accessibility best practices.
Phase 3: Continuous Monitoring & Optimization
Ongoing analysis and refinement to ensure sustained accessibility compliance and performance.
Ready to Transform Your Web Accessibility?
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