Inspiration
Many builders face a starting problem. You have an app idea, yet setup work, boilerplate code, and constant tool switching slow progress. Most AI coding tools stay passive and wait for step by step prompts. We built VibeBuilder to act as an autonomous product team. The goal was to create a system that researches, plans, designs, and builds software the way a human team works, without continuous input from you.
What it does
VibeBuilder is an autonomous multi agent AI builder. You provide a short text prompt or a rough wireframe image. The system delivers a functional web application.
It runs a full product workflow.
Research Agent Uses Google Search to study competitors and market signals.
Product Agent Defines requirements, creates a data driven PRD, and sets success metrics.
Design Agent Defines layout structure and a consistent visual system.
Engineering Agent Writes responsive HTML with Tailwind CSS and renders it in a live sandbox preview.
You observe the full process through a glass box interface. The UI shows reasoning steps, research tables, and technical decisions in real time.
How we built it
We used a modern stack focused on speed and interaction.
Frontend React 19, TypeScript, and Tailwind CSS with a dark terminal style UI.
AI orchestration Google Gemini 3 models.
gemini 3 flash for fast research tasks and Google Search grounding.
gemini 3 pro preview for complex reasoning, PRD generation, and code structure.
Agent architecture A coordinator loop passes structured artifacts like JSON research output and Markdown specs between agents. Each agent follows a clear role with strict output schemas.
Thought visualization A custom logging system renders tables, JSON, and Markdown directly inside the chat stream.
Challenges we ran into
Context management Keeping agents aligned without hitting context limits required strict artifact passing between stages.
Hallucinations and grounding Early code output included invalid CSS classes. We fixed this by enforcing Tailwind CDN usage and by forcing layout planning before markup generation.
Async UI handling Multiple parallel agent streams required careful React state management to keep the interface responsive.
Accomplishments that we are proud of
True autonomy A single sentence triggers several minutes of autonomous work and produces a usable prototype.
Transparent reasoning Build logs show real competitor research, feature tradeoffs, and risk analysis, which builds trust.
Multimodal input You paste a whiteboard sketch image and the system recreates it in working code.
What we learned
Reasoning needs structure Assigning a clear thinking budget improves planning and code quality.
Grounding improves decisions Live Google Search data keeps product ideas aligned with current market signals.
What’s next for VibeBuilder
Multi file output Support for full project folders such as React or Vite.
One click deployment Direct deployment through platforms like Vercel or Netlify.
Voice collaboration Real time voice interaction with your AI product team.
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