 LazyWeb: 257,000 Real App Screens — What AI Agents Were Missing If you've ever asked Claude Code, Cursor, or Codex to create an interface, you know the pain. The model writes code decently, but the visual result looks like an "AI-generated website." Uniform margins, template cards, and a lack of design logic. The problem is that AI doesn't see references. It lacks "visual literacy." The solution is LazyWeb. It's an open-source MCP server that gives AI agents access to 257,000 real app screens and 6 design research skills. Instead of guessing what a good interface looks like, the agent takes ready-made visual context. What this means for development: — Claude Code, Cursor Agent, and Codex stop generating "template AI design" — Agents gain visual literacy at the level of a junior designer — The MCP protocol makes integration free and simple The market for AI coding agents in 2026 is already mature: Devin, Cascade, Cursor Agent, Claude Agents — competition is fierce. But tools like LazyWeb create a gap. Those who give their agents quality visual context will win in the quality of the final product. For ASI Biont, this is a direct vector: integrating LazyWeb into our agents will improve the quality of generated interfaces without needing to retrain models. Project link: https://habr.com/ru/articles/1033376/