Turn simple ideas into production-ready software using 8 coordinated AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AI Software Engineering Team - MCP Multi-Agent System" yet — see the docs or source repo.
Generate a production-ready SaaS admin dashboard project from this idea: for small and medium businesses, including user login, role-based access control, subscription billing, analytics dashboard, and audit logs. Use Next.js, TypeScript, PostgreSQL, and Prisma, and provide the full project structure, core code, environment setup, testing, and deployment instructions.
A complete software project package with architecture, core implementation, testing plan, and deployment docs.
I want to build an AI meeting notes web app. Use a multi-agent workflow to break down requirements and generate an MVP that supports audio upload, speech-to-text, summary generation, action item extraction, and email delivery. Provide frontend and backend code, API design, database models, testing recommendations, and launch steps.
A build-ready MVP output covering requirement breakdown, code, APIs, and delivery workflow.
Generate an internal ticketing system for a customer support team with ticket creation, status workflow, priority management, collaborative comments, file attachments, and basic reporting. It should be production-ready and include permission design, error handling, logging, automated tests, and Docker deployment configuration.
A complete internal ticketing system project with production-grade configuration, testing, and deployment materials.
Coordinate multiple AI agents on software projects with shared tasks and context.
Coordinate specialized AI agents for software development, review, testing, and task tracking.
Build, debug, and manage software tasks with natural language across LLMs.
Build AI agent workflows and automate tasks using MCP-connected services.
Manage projects, tasks, and team coordination with lightweight AI-friendly workflows.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.