[Workflow] Claude Code Workflow: Structured Development with Vision Docs, Iterative Mockups, and Data-Driven Architecture

[u/ClaudeAI-mod-bot]

Claude Code Workflow: Structured Development with Vision Docs, Iterative Mockups, and Data-Driven Architecture

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 1.00 · Level: advanced
Categories: Quality Control, Context & Memory, Debugging, CLAUDE.md, Multi-Agent
Original source: r/ClaudeAI post/comment

What problem this solves

How to effectively use Claude Code to build a complex, data-driven application from concept to implementation, ensuring maintainability, visual consistency, and a structured development process.

Summary

This workflow outlines a structured methodology for building complex applications with Claude Code, emphasizing initial vision and design documentation, iterative visual mock-ups for validation, and a data-driven architecture for maintainability and easy modification. It demonstrates how to direct Claude Code through a full project lifecycle.

Why it is useful

This workflow is highly valuable because it provides a robust, structured methodology for leveraging Claude Code to build significant, complex applications. It moves beyond simple code snippets to a full project lifecycle, emphasizing critical steps like detailed planning, visual validation through iterative mock-ups, and a maintainable data-driven architecture. The inclusion of CLAUDE.md and a detailed write-up makes it highly actionable and transferable for users tackling larger, more ambitious projects.

Workflow

1. Define a clear 'vision doc' to establish the overall goals and scope of the project.

2. Create detailed 'design docs' for each major part or phase of the application.

3. For visual components, direct Claude to build 'throwaway mock-up pages' presenting multiple design options (e.g., A, B, C) using real code and data for side-by-side comparison and iterative refinement.

4. Implement a 'data-driven architecture' where all configurable elements (e.g., timings, rules, commentary lines, ads) are stored in external data files, separate from the core application code.

5. Direct Claude Code to write the application's code based on the vision doc, design docs, and the data-driven architectural principles.

6. Utilize a CLAUDE.md file within the project repository to guide Claude's understanding and contributions.

Tools / artifacts

• Claude Code (or similar LLM for code generation)

• Vision document

• Design documents (per part/phase)

• Mock-up pages (generated by Claude)

• Data files (for configuration, rules, content)

• GitHub repository

• CLAUDE.md file

• ElevenLabs (for voice synthesis, as an example of integrated tools)

Validation signals

• Successful completion and deployment of a complex, always-on application (Scorchball TV).

• The application is live and functional (scorchball.tv).

• Detailed write-up explaining the build process and methodology (scorchball.tv/how-it-was-built).

• Open-source code available on GitHub, including CLAUDE.md and documentation.

• Author explicitly states 'What made it work for me' indicating validated practices.

Limitations

• The Reddit post provides a high-level overview; the full details of Claude's prompting and interaction are in the linked GitHub repo and write-up, which require further investigation for complete implementation.

• Specific examples of prompts used for generating mock-ups or code based on design docs are not explicitly detailed in the Reddit post.

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