lazygit
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
Automated WCAG compliance and inclusive UI engineering at the speed of AI.
CodeAccessibility is a specialized AI-driven platform engineered to bridge the gap between modern frontend development and complex WCAG 2.2/3.0 standards. Unlike general-purpose AI assistants, CodeAccessibility utilizes a proprietary 'A11y-LLM' fine-tuned on millions of audited UI components and accessibility failure patterns. By 2026, it has established itself as the premier 'Accessibility-as-Code' solution, offering deep integration into the SDLC (Software Development Life Cycle). The technical architecture involves a headless browser engine that renders components in virtualized environments to detect visual accessibility issues that static analysis tools miss, such as focus trapping, DOM order mismatch, and dynamic contrast shifts. It provides real-time remediation suggestions that are context-aware, ensuring that generated ARIA labels and alt-text align with the functional intent of the code. The platform’s market position is solidified by its ability to perform 'Auto-Remediation,' where it creates pull requests that fix non-compliant code automatically, significantly reducing the manual overhead for enterprise engineering teams facing strict legal compliance deadlines.
Uses computer vision to analyze images within code context to generate descriptive, non-redundant alt attributes.
A simple terminal UI for git commands that streamlines complex workflows without the overhead of heavy GUIs.
The version-controlled prompt registry for professional LLM orchestration.
The Developer-First Workflow-as-Code Platform for Orchestrating Human and Machine Tasks.
A command-line task runner that eliminates the syntax debt of Make for modern software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Simulates keyboard navigation through the virtual DOM to identify focus traps and incorrect tab orders.
Deep-scans Web Components and Shadow DOM trees for encapsulated accessibility failures.
Automatically calculates and suggests the nearest WCAG-compliant color hex code while maintaining brand palette integrity.
Generates Playwright/Cypress scripts that specifically test ARIA-live regions and announcement accuracy.
Identifies deprecated HTML4 patterns (like table layouts) and converts them to semantic HTML5/Flexbox.
Uses historical data to predict if a code change will likely result in an accessibility regression before it is even committed.
An old jQuery-based dashboard lacks all ARIA labels, making it unusable for screen reader users.
Registry Updated:2/7/2026
Verify via the built-in screen reader simulator.
Developers accidentally introduce non-compliant color contrast in new UI components.
Designers provide designs that are impossible to make accessible in code.