The Stack Map Workflows › Idea to Deployed App
Other 5 steps 7 tools

Idea to Deployed App

Go from a product idea to a deployed web application. Use AI tools at each stage: design the UI, generate the code, iterate in an AI-native editor, and ship.

developers
🌐 View in interactive graph →

Workflow

Step 1
Spec out the idea
Describe the application to a chatbot and iterate on requirements, user stories, and technical architecture
Alternatives: ChatGPT
Input: A product idea or problem statement
Output: Requirements doc, user stories, tech stack decision
Requirements doc, user stories, tech stack decision
Step 2
Generate UI prototype
Use an AI UI generator to quickly create the visual design and component structure
Alternatives: Bolt
Input: Requirements and UI descriptions
Output: React components, page layouts, design system
React components, page layouts, design system
Step 3
Scaffold the full stack
If the app needs a backend, use a full-stack generator to create API routes, database schema, and auth
Alternatives: v0
Input: UI prototype + backend requirements
Output: Full-stack application with frontend, API, and database
Full-stack application with frontend, API, and database
Step 4
Iterate and refine
Bring the generated code into an AI-native editor for real development -- refactoring, bug fixes, feature additions, tests
Input: Generated application code
Output: Production-quality codebase with tests
Production-quality codebase with tests
Step 5
AI code review
Use AI to review the final code for bugs, security issues, and best practices before shipping
Alternatives: Cursor
Input: Pull request with changes
Output: Reviewed, approved code

Step Details

Step 1

Spec out the idea

Describe the application to a chatbot and iterate on requirements, user stories, and technical architecture

Step 2

Generate UI prototype

Use an AI UI generator to quickly create the visual design and component structure

Alternatives
Step 3

Scaffold the full stack

If the app needs a backend, use a full-stack generator to create API routes, database schema, and auth

Alternatives
Step 4

Iterate and refine

Bring the generated code into an AI-native editor for real development -- refactoring, bug fixes, feature additions, tests

Step 5

AI code review

Use AI to review the final code for bugs, security issues, and best practices before shipping

🌐 See this workflow on the interactive graph →
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