Nyvo Docs
  • Introduction
  • Overview
    • Mission
    • Vision
  • The Product
    • Key Features
      • AI-Powered Prompt Interface
      • Full-Stack dApp Generation
      • One-Click Deployment
      • High-Performance Blockchain Support
      • Customizable UI & Theming
      • Integration and Composability
      • Developer-Friendly Export and Extension
      • Built-in Wallet & Identity Solutions
    • Use Cases and Examples
      • DeFi and Token Launchpads
      • NFT Marketplaces and Games
      • DAOs and Governance Platforms
      • Social and Utility dApps
      • Enterprise and Real-World Asset Apps
  • How Nyvo works
    • 1. Natural Language Understanding
    • 2. Solution Planning
    • 3. Smart Contract Code Generation
    • 4. Automated Testing & Validation
    • 5. Frontend Generation
    • 6. User Review and Iteration
    • 7. Deployment to Blockchain
    • Conclusion
  • Platform Architecture
    • Nyvo Studio
    • AI Orchestration Engine
    • Code Generation Models
      • Smart Contract Generator
      • Frontend/UI Generator
      • Documentation & Instruction Generator
    • Template & Module Library
    • Compilation & Testing Sandbox
    • Hosting Infrastructure
    • Data Storage & Security
  • Developer Guide & API
    • Architectural Overview
      • Program Deployment
      • Wallet Interactions & Security
      • UI Binding to On-Chain Data
      • Integration with Solana Runtime
    • Building dApps with Nyvo: Step-by-Step Guide
      • 1. Define the dApp Prompt
      • 2. Configuration & Module Selection
      • 3. Program Generation and Deployment
      • 4. Front-End Generation and Binding
      • 5. Testing the dApp
      • 6. Deployment to Production
  • Supported dApp Modules
    • Staking Module
    • Marketplace Module
    • Launchpad Module
    • Governance Module
    • Other Utility Modules
  • API and Abstraction Layers
    • Smart Contract Abstraction
    • Transaction Management API
    • Front-End and UI Components
    • Security Considerations in the API
  • Infrastructure & Performance
    • Deterministic Address Derivation (PDAs)
    • Transaction Simulation and Compute Units
    • Solana Fee Model and Cost Prediction
  • Rent-Exemption and Storage Costs
  • Combining Modules and Cross-Program Interactions
  • Best Practices: Security, Testing, and Maintenance
  • Pricing & Revenue Projection
    • Target Market & Addressable Users
    • Pricing Model & Tiers
      • Freemium (Free Tier)
      • Premium (Subscription Tier)
      • Lifetime (One-Time Purchase)
    • User Adoption Forecast
    • Revenue Projections
    • Marketing & Acquisition Channels
    • Expansion Plans & Future Monetization
  • Prompt Engineering
    • Key Strategies for Effective Solana-Focused Prompts
      • Set the AI’s Role and Context Upfront
      • Be Clear and Specific in Your Request
      • Provide Context from Your Project
      • Structure Prompts for Both Code and Explanations
      • Take an Iterative Approach
    • Building a Prompt Library
    • Debugging and Refining AI Outputs
    • Examples for Common dApp Scenarios
      • Example 1: Staking Dashboard dApp
      • Example 2: NFT Marketplace / Platform
      • Example 3: Crowdfunding (Fundraising) dApp
    • Final Tips
  • Legal & Socials
    • The Nyvo Whitepaper
    • Legal Disclaimer
    • Socials
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  1. Platform Architecture

Nyvo Studio

PreviousPlatform ArchitectureNextAI Orchestration Engine

Last updated 1 month ago

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This is the user-facing application – essentially the IDE in your browser where users interact with Nyvo. It’s a rich web application that includes the prompt interface, project dashboard, code preview windows, and deployment controls. When a user types a prompt or clicks “Build”, the Studio app communicates with Nyvo’s backend services. It also manages user accounts, project data, and integration with wallets (for deployment authorization). The Studio is designed to be intuitive for non-technical users while offering additional panels and options for developers (like viewing the generated code diff, or editing the prompt parameters in an advanced mode).