Builder.io launched Fusion 1.0. This unique AI agent links product management, design, and development in one smooth workflow. Product teams usually work in silos. Product managers write requirements in Jira. Designers create mock-ups in Figma. Developers code in IDEs. Fusion 1.0 connects teams by creating a real-time space. Now, they can collaborate within one stack instead of switching between three different tools.
Fusion 1.0 connects directly with Slack, Jira, Figma, and GitHub. This lets teams move from idea to production without switching tools. A team member can tag @Builder.io in Slack. This converts a chat into a feature request. They can also assign a Jira ticket to the “Builder” bot. Then, it generates a branch and starts implementation. Designers can work in a visual canvas that writes real code using existing components and design tokens, while developers review pull requests that the bot intelligently updates based on feedback
Built on a context-aware engine, Fusion understands APIs, data sources and design systems to generate production-ready code from day one. It learns each team’s preferences and patterns with every commit, enhancing itself over time. According to Builder.io, Fusion has already transformed over 10 million designs and PRDs into production features at some of the world’s largest enterprises.
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“Most AI tools today make individual contributors faster but leave teams disconnected,” said Steve Sewell, CEO of Builder.io. “Fusion 1.0 is different it lets PMs, designers, and engineers build together in one environment where code is the common language. It’s how software teams finally move from handoffs to collaboration.”
“We’ve done this live in team meetings people throw out an idea, and we just build it in front of them. What used to take months now happens instantly. Once leadership saw that, they said, ‘We need this everywhere,’” said a UX Design Lead at a global enterprise services company.
Enterprise-Grade Ready from Day One
Fusion integrates with existing stacks like React, component-driven JS frameworks, and custom architectures. It also supports backend systems. This includes MCP servers, databases, APIs, and deployment tools like Supabase, Netlify, and Zapier. It has enterprise-ready features like granular permissions and role-based access control. It also supports multiple AI models, including OpenAI, Anthropic, and Google. This helps teams stay independent.
