# Set Up Workflow: Structured Claude Code Workflow for Building Full-Stack Apps
## What This Is
This is a developer workflow for using Claude Code to build applications more efficiently. It establishes a repeatable process that gives the AI long-term memory of a project's architecture and automates routine coding tasks, enabling faster development from idea to a finished product.
Source: https://www.youtube.com/watch?v=3aKVArutiIU
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?
## Source Access Note
The source URL (https://www.youtube.com/watch?v=3aKVArutiIU) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.
## What to Implement
This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.
- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files
## Additional Context
- Analyze the current project's architecture, dependencies, and coding standards, then create a `CLAUDE.md` file in the root directory to establish long-term context for all subsequent interactions.
- Create the `.claude/commands/` directory and populate it with reusable prompt templates for common tasks like `/new-component`, `/code-review`, or `/api-endpoint`, based on an analysis of the user's project needs.
- Activate 'Plan Mode' and, acting as a 'Senior Architect', analyze the codebase and the user's high-level goal. Generate a detailed, step-by-step implementation plan including required dependencies and file structures before writing any code.
## Reference Implementation
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I subscribe to way too many information sources. Here are the URLs: [paste URLs]. Build me a digest app that fetches new content, summarizes in 2-3 sentences, groups by topic, stores seen items, and generates a clean newsletter page.
```
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it