Building AI-Assisted Design Systems
How we approach systematic design at scale using AI feedback loops. Covers token generation, component automation, and the role of human review in quality gates.
Thoughts, tutorials, and deep dives on AI, design, and code.
How we approach systematic design at scale using AI feedback loops. Covers token generation, component automation, and the role of human review in quality gates.
Performance techniques for rendering thousands of rows without lag. Virtualization, memoization, and profiling strategies that scale to large datasets.
Deep dive into prompt engineering for code. Token budgets, context windows, and patterns that produce reliable, idiomatic output across languages.
Technical deep dive into WCAG compliance, perceptual uniformity in oklch, and how we built our navy + amber palette for accessibility and brand impact.