From Eye Tracking to AI Assistance: A New Series on Accessible Coding
For developers with disabilities, the barriers inherent in daily life often cultivate creativity and resilience—qualities that prove invaluable in software engineering. GitHub's The ReadME Project is shining a light on these developers with the launch of "Coding Accessibility," a new video series and featured story exploring how individuals with disabilities leverage open source tools and generative AI to overcome obstacles and build innovative solutions.
The series kicks off by introducing Becky Tyler, a young developer with quadriplegic cerebral palsy who interacts with her computer exclusively through eye tracking. Her journey began with a simple desire to play Minecraft, which led her to discover open source software and collaboration as the answers to her accessibility challenges. That experience ultimately inspired her to pursue development herself.
Creative Solutions Across the Community
Beyond Tyler's story, the accompanying featured article highlights several developers applying unconventional techniques to make coding more accessible. Anna Kirkpatrick, for instance, applies frequency analysis to source code in order to design custom on-screen keyboard layouts, making eye tracking-based coding more efficient. Anton Mirgorodchenko, a Ukrainian refugee, has created an open source project documenting his combination of ChatGPT and GitHub Copilot for abbreviation expansion and text prediction, enabling him to architect software and write code more fluidly.
Podcast and Multimedia Resources
To accompany the written feature, GitHub has released a special episode of The ReadME Podcast in which hosts converse directly with Tyler and her mentors about how developers with disabilities are enhancing the accessibility of the tech world. The full suite of resources—including the featured article, podcast episode, and two video versions (one standard, one with audio description)—is available for those interested in exploring the stories further.
