Agile Accessible Software Development
summary
Open-source axe-core (≈1 billion npm downloads) underpins a suite that integrates with Figma, VS Code, linters and Cypress to catch accessibility flaws earlier. Automated checks cover about 57% of issues in pull requests while Deque’s AI-powered intelligent guided tests plus human labeling push that to 84% pre-merge detection. The system uses custom object-detection and OCR models, zero-false-positive heuristics, shareable issue URLs and biweekly model updates; deployed reports and CI hooks demonstrably reduce risk and surface fixable markup, contrast and keyboard defects.
AI-written summary · about
chapters (6)
- 0:00Introduction to accessibility
- 1:42Automated testing overview
- 3:27Overcoming testing limitations
- 6:34Intelligent guided testing
- 9:10AI in accessibility testing
- 15:09Practical tool demonstration
related talks
28mAutomated Accessibility Testing
52mUpdate on The State of Accessibility
49mHow Do You Make Accessibility Testing as Efficient as Possible
50mNext Generation Accessibility Test Automation
50mWhat’s new in axe
33mAutomated accessibility testing
28mEnterprise Grade Accessibility for Everyone
53mAutomating Accessibility Assurance