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AI / SaaSActive Development
AI Software Architect
Multi-agent SaaS that turns a product idea into a full engineering deliverable
Next.js 16TypeScriptReact 19PrismaPostgreSQLLiveblocksReact FlowTrigger.devClerkGemini
Problem
Turning a plain-language product idea into requirements, architecture, diagrams, and a backlog is slow and inconsistent — usually locked inside one person's head, with no traceability between a user story and the component that implements it.
Solution
A Coordinator plans and routes work across four specialized agent teams — Business, Architecture, Engineering, Documentation — that communicate only through a schema-validated Shared Memory, producing requirements, ADRs, UML/C4/ERD diagrams on a real-time collaborative canvas, an API contract, and a backlog, with every artifact traceable back to its source requirement.
Architecture
Idea input
Coordinator planning
Business / Architecture / Engineering / Documentation agent teams
Shared Memory (schema-validated)
Composed response + exportable docs
Key features
- Coordinator + 4 specialized agent teams communicating through a schema-validated Shared Memory, not free-form chat
- Every artifact (story, requirement, component, test) carries an ID and traces upstream to its source
- Real-time collaborative canvas (Liveblocks + React Flow) for architecture diagrams
- Background AI pipelines run via Trigger.dev, decoupled from the request/response cycle
- Unit-tested orchestrator, memory layer, and API routes