AIDesigner
UI So Good You Can't Tell It's AI
92 followers
UI So Good You Can't Tell It's AI
92 followers
AIDesigner turns a simple prompt into beautiful, original UI from a single prompt without the “vibe-coded” look. Create landing pages, dashboards, mobile screens, and components in seconds, then refine them on an infinite canvas with direct editing (text, buttons, links, images) and @page context for targeted updates. Harness the AIDesigner MCP to give your coding agents access to create stunning UI that's consistent with your existing project.
This is the 2nd launch from AIDesigner. View more
AI Designer MCP
Launching today
Claude Code and Codex are great at writing code, but frontend design is still where coding agents fall short. That’s why we built the AI Designer MCP — giving your agent the tools to create beautiful, codebase-aware UI directly inside the client you already use.
No more generic purple gradients, overused lucide icons, and AI-looking layouts. Just clean, polished, relevant UI that actually fits your product.
Free Options
Launch Team / Built With
i was ready to ignore another ai design tool until i saw the part about encrypted secrets and local context. one quick question "does it pull from the global design system file automatically or do i need to point it to specific files? @bowlcutwiz @AIDesigner
@priya_kushwaha1 Hey Priya! Yeah the MCP comes equipped with a command/instructions for your agent to create a design system markdown file based on your existing codebase. Your agent will reference that design.md when creating future designs.
It's not a requirement though, it's capable of creating designs from scratch and from analyzing individual pages/components as well.
skeptical about fully autonomous UI generation - every agentic system I run hits edge cases where the output breaks existing design contracts. what's the human review point before it commits changes?
@mykola_kondratiuk Understandable concern and that's the beauty of an MCP! We're just giving the agent the tools to create good UI while the human remains the orchestrator and reviewer. All designs are still run by the user, adjusted however necessary before any commits happen.
In terms of staying consistent with existing design systems, because the agent has context of the user's existing codebase, it's actually quite good at creating UI that matches existing design structure. The MCP also comes equipped with skills that instruct the agent on how to properly construct consistent design prompts and wire outputs back into user's project.
fair distinction. tool-call model gives cleaner control than pure generation. still depends on how tight the review loop is before commit.
@mykola_kondratiuk 100%. Reviewing design output is actually quite easy with the MCP since each design artifact gets stored as both raw code and as a preview image so both the agent AND the user can preview it before deciding to move forward with any changes.
That artifact structure makes sense - raw code + preview gives a proper review trail, not just output to eyeball. Lighter review step changes the math on autonomy.