Google Stitch — vibe design and the DESIGN.md pipeline
Google's AI design tool generates high-fidelity UI from prompts, sketches, and voice. The interesting part isn't the generation — it's DESIGN.md and the MCP bridge to your codebase.
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9 posts tagged "tools"
Google's AI design tool generates high-fidelity UI from prompts, sketches, and voice. The interesting part isn't the generation — it's DESIGN.md and the MCP bridge to your codebase.
Read more →Paper eliminates the design-to-code translation by making the canvas itself HTML and CSS. What you design is what ships. The question is whether that's always what you want.
Read more →Pencil puts a Figma-like canvas inside your IDE with design files in Git and AI agents reading specs through MCP. The design never leaves the codebase.
Read more →Why Interlusion builds its marketing site with Astro, and what a zero-JavaScript-by-default architecture means for performance, simplicity, and AI-native development.
Read more →A practical walkthrough of implementing a three-layer design token architecture using Tailwind CSS v4's native @theme directive — no config files, no build tools, just CSS.
Read more →sqlc generates type-safe Go code from plain SQL queries. No ORM, no runtime reflection, no surprises — just your schema, your queries, and generated code that compiles.
Read more →Both are CNCF Graduated. Both do GitOps well. But their architectures tell different stories about who the primary operator is — and that matters when agents enter the loop.
Read more →Most architecture documentation is either absent or abandoned. Arc42 gives it structure that humans can navigate and AI agents can maintain. Here is how we use it and why it stuck.
Read more →Context7 is the most popular MCP server for a reason — it fixes the exact context pollution problem that makes AI agents hallucinate APIs. But a recent supply-chain vulnerability reveals a deeper question: who do you trust to fill the context window?
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