Company & Mission

Engineering Decision-Grade AI Context for Modern Software Teams

At designmd.fun, we believe AI coding tools like Claude Code, Cursor, Windsurf, and Lovable are only as effective as the design context provided to them. We build real-time UI reverse-engineering infrastructure that extracts color semantics, Satoshi typography scales, spacing tokens, and motion parameters into deterministic design.md documentation.

our principles

four core pillars

Built for precision and developer velocity

How designmd.fun guarantees zero drift between live UI and generated agent code.

Deterministic Extraction

No hallucinated hex codes or guessed font scales. Every token is computed from live DOM rendered styles.

Agent-First Design

Formatted specifically for LLM context windows, enforcing strict token constraints without bloating prompts.

Zero Drift Guarantee

Eliminate friction between design specifications and frontend implementations by feeding agents exact code tokens.

Enterprise Privacy

Zero retention mode for private staging URLs. Your design specs never leak to public model training datasets.

why we built cognivis

ui reverse engineering

Eliminating Design-to-Code Friction

As frontend engineers building complex web applications, we noticed a persistent issue: developers were using state-of-the-art AI agents, but the agents kept creating inconsistent colors, arbitrary paddings, and mismatched fonts.

designmd.fun solves this by providing a unified bridge: paste any URL to receive a full set of machine-readable specifications (design.md, colors.json, Satoshi typography scales, and system prompts) ready for your agent.

Generate Design.md Contact Sales

designmd.fun Architecture Specification

Headless EngineChromium DOM Parser 2.0
Color SystemOKLCH / HSL / Hex Palette
Typography StackSatoshi + Geist Mono
Supported AI ToolsClaude Code, Cursor, Windsurf, Lovable
Output Format10 Specs / URL