MeDo Multi-Agent Software Company

An AI-native operating system, multi-agent simulator for running a software startup that turns user's app idea into a full software delivery workflow, built with MeDo.

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AI Software Company is a full-stack web app, multi-agent AI operating system built with MeDo that transforms natural-language software ideas into structured startup workflows and GitHub-ready engineering plans. Users describe a software idea in natural language, and the platform generates a complete software planning workflow across multiple interactive dashboards. The project explores the concept of AI-native software organizations where specialized AI agents collaborate to automate product planning, execute task, and deployment preparation.

Users begin by entering a software idea: “Build a job application tracker for college students that organizes applications, deadlines, resumes, interviews, and AI-powered career insights.”

The application includes:

  • A polished SaaS-style landing page
  • Multi-agent collaboration workspace
  • auto-generated Kanban workflow board
  • Code preview system
  • QA and deployment dashboards
  • GitHub Export workflow

The platform then activates 7 specialized AI agents:

  • CEO Agent
  • Product Manager Agent
  • UI/UX Designer Agent
  • Frontend Engineer Agent
  • Backend Engineer Agent
  • QA Tester Agent
  • DevOps Agent

Each agent generates role-specific outputs based on the user’s project idea. The system dynamically creates product briefs, requirements documents, user stories, UI plans, database schema ideas, API route structures, QA workflows, and deployment readiness summaries. Using the OpenAI Chat Completions API integration, each agent generates role-specific outputs with distinct responsibilities and technical perspectives. The system creates:

  • product briefs
  • requirements documents
  • user stories
  • UI screen plans
  • database schema ideas
  • API route structures
  • QA test plans
  • deployment checklists
  • sprint tasks
  • launch readiness summaries

One of the most important features is the GitHub integration workflow. After generating the project plan, users can automatically create:

  • README.md documentation
  • GitHub issue lists from Kanban tasks
  • suggested repository structure
  • setup instructions
  • downloadable project planning artifacts

The app also supports automated GitHub repository creation and issue generation through the GitHub REST API integration.

Demo Flow: Prompt Used: Build a job application tracker for college students that organizes applications, deadlines, resumes, interviews, and AI-powered career insights.

Demo Shows

  • User enters software idea
  • AI agents generate role-specific outputs
  • Kanban board auto-generates sprint tasks
  • Code preview and architecture appear
  • GitHub Export generates README and issue tickets
  • Repository creation workflow launches

I used MeDo extensively to generate the full-stack application architecture, responsive UI system, AI workflow interactions, plugin integrations, dashboard layouts, GitHub export system, and deployment experience. The project evolved iteratively through conversational prompting and rapid refinement inside MeDo. AI Software Company demonstrates how conversational AI platforms can evolve from simple chat interfaces into autonomous software planning and engineering coordination systems.

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