AI Quickstart Generator

How It Works

The AI Quickstart Generator uses advanced language models to understand your system requirements and automatically generate comprehensive UML diagrams. Simply describe your system in natural language, and the AI will analyze your requirements to suggest the optimal diagram structure.

Step 1: Describe Your System

Enter a detailed description of the system you want to build. Include information about:

• What the system does and who uses it
• Core entities and their relationships
• Key user flows and interactions
• Main features and capabilities
• Business processes and workflows
• Stateful entities (orders, tasks, requests, etc.)

Step 2: AI Analysis & Generation

Our AI analyzes your description and suggests the optimal diagram types and counts. You can review and adjust the recommendations before starting generation. The process runs in the background, allowing you to continue working while diagrams are being created.

Step 3: Track Progress

Monitor the generation progress in real-time. See each diagram being generated, track completion status, and view generated models as they become available. The system provides detailed progress information including current step, overall completion percentage, and a list of completed diagrams.

AI-Powered Analysis

The AI analyzes your system description to identify:

• Core entities and their relationships
• Business processes and workflows
• Stateful entities requiring state machines
• User interactions requiring sequence diagrams
• System components and architecture

Best Input Formats for POs and Analysts

EcosystemCode works best when you provide structured input. Here are the formats that produce the most accurate results:

Epic Format

Start with a high-level description that includes business context:

I need a [SYSTEM NAME] for [TARGET USER/ORGANIZATION].

Business Context: [Why this system is needed]

Key Features:
- [Feature 1]
- [Feature 2]
- [Feature 3]

User Roles: [Who uses the system]

User Story Format (Given/When/Then)

For best results, use the Given/When/Then format for acceptance criteria:

As a [ROLE],
I want to [ACTION],
So that [BENEFIT].

Given [PRECONDITION]
When [ACTION]
Then [EXPECTED RESULT]

Constraints & Non-Functional Requirements

Include any constraints that affect the design:

• Performance: "Must handle 1000 concurrent users"
• Security: "Requires role-based access control"
• Integration: "Must integrate with Stripe for payments"
• Compliance: "Must be GDPR compliant"

Questions We'll Surface

If your input is unclear, EcosystemCode's validation will ask about:

• Missing entity relationships
• Undefined state transitions
• Ambiguous workflows
• Incomplete user roles
• Missing edge cases

This helps ensure you catch gaps before generating code.

Prompt Generation for Enhanced Reliability

EcosystemCode generates comprehensive, structured prompts from your UML designs that can be used with any Large Language Model (LLM) to create more reliable and accurate system implementations.

Universal LLM Compatibility

The generated prompts work seamlessly with all major LLM providers and tools:

• OpenAI - GPT-4, GPT-3.5, and other models
• Google Gemini - Gemini Pro and advanced models
• Anthropic - Claude models
• Cursor - AI-powered code editor
• Windsurf - AI development environment
• Any other LLM that accepts text prompts

Why Use Generated Prompts?

These structured prompts provide:

• Complete Context - All your UML diagrams, relationships, and business logic in one comprehensive prompt
• Consistency - Ensures the LLM understands your entire system architecture
• Accuracy - Reduces errors by providing complete system context upfront
• Reliability - More predictable results when generating code or documentation
• Portability - Use the same prompt across different LLM providers for consistent results

Whether you're generating code, documentation, tests, or system analysis, these prompts ensure your LLM has complete context about your system design, leading to more accurate and reliable outputs.

Just Run It - Complete Deployment Ready

Once your diagrams are generated, EcosystemCode creates a complete, production-ready application that you can run immediately. No additional configuration needed - everything is generated and ready to deploy.

What Gets Generated

Your generated application includes:

• Full-Stack Application - React frontend, Node.js backend, MongoDB schemas
• Docker Configuration - Complete Docker Compose setup for local development
• Build Scripts - One-click start scripts for Mac, Windows, and Linux
• Deployment Files - Dockerfiles, environment configurations, and infrastructure as code
• Cloud Deployment Options - Ready for AWS, GCP, Azure, or any container platform

Run Locally or Deploy to Cloud

Start your application locally with a single command, or deploy directly to your preferred cloud platform. The generated code includes all necessary configuration for both scenarios.

Immediate Results

As shown in the screenshot, your generated application includes:

• Frontend Server - React application running on a local port
• Backend API - Complete REST API with all entity endpoints
• Database Connection - MongoDB configured and connected
• Health Checks - Built-in health endpoints for monitoring
• API Proxy - Frontend automatically configured to communicate with backend

Everything is generated, configured, and ready to run. No manual setup required - just start the application and begin using your system immediately.