Overview
AI-first development treats AI as your primary development partner, not just a code completion tool. This guide covers the core workflow patterns that make crypto development faster and more effective. Prerequisites: Complete AI Development Setup first.General workflow
Work in short cycles: Explore → Scaffold → Build → Refine1
1. Explore
Start with high-level questions to understand the problem space:
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2. Scaffold
Generate foundational code structure:
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3. Build
Add features iteratively with context:
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4. Refine
Debug, optimize, and polish:
Quick example
Goal: Add wallet connectionEnhanced workflow: Spec-driven development
If you’re new to crypto development or using AI, you might be tempted to just start asking AI to “build me a DeFi app” and see what happens. This “vibe coding” approach can work for simple experiments, but it often leads to confusing, hard-to-debug code that doesn’t actually solve your problem. Spec-driven development gives you a structured way to turn your crypto app ideas into working code. Instead of hoping the AI guesses what you want, you guide it through a clear process your agent can follow reliably.Why use specs
- Prevents overwhelming complexity: Without a spec, AI might build a complex DeFi protocol when you just wanted a simple token swap
- Teaches you crypto concepts: Writing specs forces you to understand wallets, networks, and transactions before coding
- Creates maintainable code: Structured planning leads to code you can actually understand and modify later
- Reduces debugging time: Clear requirements mean fewer “why doesn’t this work?” moments
Process and tools
Follow these four steps to transform vague crypto ideas into working applications:1
1. Write your app specification
Start by clearly describing what you want to build and why. You don’t need to go too far into the details, but you should provide a good understanding of the app you want to build:Helpful tools for this step:
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2. Get a technical architecture plan
Ask AI to design the technical structure based on your spec:Helpful tools for this step:
- ChatGPT - Great at architectural planning and explaining technical decisions
- Cursor - AI-first editor that can help refine architecture with CDP context
- CDP MCP Server - Gives AI direct access to CDP documentation for accurate architecture suggestions
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3. Get a development task list
Ask AI to break the architecture into specific, manageable tasks:Helpful tools for this step:
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4. Implement with guided prompts
Use the task list to create focused implementation requests:Helpful tools for this step:
- Cursor - AI-first editor perfect for implementing with full project context
- GitHub Copilot - Excellent code completion for implementing specific tasks
- Replit - Cloud environment great for quick prototyping and testing
- ngrok - Create secure tunnels to test your crypto app on mobile devices and share with others
When to use each approach
Now that you understand both the general workflow and spec-driven development, here’s how to choose the right approach for your situation: Use spec-driven development for:- Your first crypto application - The structure helps you learn concepts properly
- Apps handling real money or user funds - Detailed planning prevents costly security mistakes
- Multi-feature applications - Specs keep complex projects organized and maintainable
- Team projects - Clear specifications help everyone understand the system
- Learning projects - Forces you to understand each component before building it
- Quick experiments with new CDP features or proof-of-concepts
- Simple UI changes or styling updates to existing apps
- Bug fixes where the problem and solution are already clear
- Prototyping ideas before committing to full specifications
Structured vs. freeform
There’s a spectrum between highly structured specification-driven development and more flexible, exploratory coding approaches. For crypto development, structured specs provide important benefits: Vibe coding issues:- AI assumes you understand crypto concepts you might not know yet
- Code becomes hard to debug when transactions fail
- Security issues from incomplete understanding of wallet interactions
- Feature creep leads to overwhelming complexity
- Forces you to learn crypto concepts before implementing them
- Creates code you can understand and modify
- Prevents common security mistakes through structured planning
- Builds confidence through clear, achievable milestones
Best practices
Always validate AI code
Build incrementally
Start simple, add complexity gradually. Don’t try to build everything at once.Maintain context
Reference previous conversations: “Based on our discussion about [feature], now help me add [next part]“Example workflows
- Adding a new feature: Explore → Design → Implement → Integrate → Test
- Fixing a bug: Isolate → Analyze → Fix → Prevent
- Optimizing performance: Analyze → Identify bottlenecks → Optimize → Validate
What to read next
Start with the specialized technique most relevant to your current need:- AI Prompting Techniques: Master effective prompting patterns for better AI responses
- Debugging AI Code: Systematic approaches to fix issues when code doesn’t work as expected
- Testing Strategies: Comprehensive testing approaches for AI-generated crypto applications
- AI Deployment: Deploy your crypto application with AI assistance