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Use AI To Build On Flow

Artificial Intelligence tools can significantly enhance your Flow development experience by providing intelligent assistance, code generation, and documentation access. This tutorial series will guide you through integrating various AI tools with Flow development to boost your productivity and code quality.

What You'll Learn​

In this tutorial series, you'll discover how to:

  • Configure AI-powered development environments for Flow
  • Access Flow documentation directly from AI assistants
  • Generate Cadence and Solidity code with AI assistance
  • Debug and troubleshoot Flow applications with AI support
  • Leverage AI for testing and optimization
  • Build AI agents that interact with Flow using AgentKit

AI Tutorials for Flow

Using Cursor with Flow​

This guide details how you can set up the Cursor AI code editor with custom Flow knowledge bases, transforming it into a specialized assistant for building powerful applications on the Flow network. By providing the AI with direct access to the official Flow documentation, Cadence language references, and best-practice examples, you unlock a new tier of intelligent assistance that goes far beyond simple autocompletion

Tutorial: Use Flow Knowledge Base in Cursor

Using Chat GPT with Flow​

Build your own expert AI assistant by creating a custom GPT specifically engineered to master the Flow blockchain and its Cadence smart contract language. This specialized tool will act as your personal pair programmer, providing highly accurate and context-aware answers to your most challenging development questions. By doing this, you're not just using a generic AI; you're creating a specialist trained on the exact documentation, code patterns, and best practices relevant to your work.

Tutorial: Use Flow Knowledge Base in ChatGPT

Data Sources​

Learn about Flow Data Sources, a meticulously curated library designed to autonomously gather and structure information from the entire Flow ecosystem. This project systematically transforms a wide array of content into clean, AI-ready Markdown files, establishing a unified source of truth. The resulting collection acts as a foundational knowledge base, perfectly suited for powering advanced applications such as custom chatbots and sophisticated Retrieval-Augmented Generation (RAG) systems.

Tutorial: Data Sources

Eliza Integration​

Learn about using Eliza on Flow, a versatile framework for constructing sophisticated AI agents that communicate with users through natural language. This guide walks you through the entire process of configuring and launching an AI agent built with Eliza directly onto the Flow blockchain. You will discover how to engineer intelligent agents capable of comprehending and addressing user prompts, all while harnessing the power of Flow's inherently secure and scalable on-chain infrastructure.

Tutorial: Eliza on Flow

Build AI Agents with AgentKit​

Learn how to build AI agents on Flow with AgentKit, a versatile and modular developer toolkit that is not tied to any single platform. It is engineered to dramatically accelerate the process of building, deploying, and refining AI agents by supplying pre-configured environments and a library of ready-to-use templates. This guide will walk you through the steps to launch your own custom agent on Flow's EVM-compatible testnet, leveraging the powerful combination of the Langchain framework and Anthropic's Claude large language model.

Tutorial: Build AI Agents with AgentKit

MCP Guides​

Learn how to construct a custom Flow MCP (Model Context Protocol) server or utilize an existing one to empower your AI tools. These tutorials will guide you through the process of equipping your AI applications with the unique capability to directly interact with the Flow blockchain, enabling them to perform on-chain operations and access real-time data.

Tutorial: Flow MCP

Cadence Rules​

Learn how to establish and utilize Cursor Rules to transform your AI assistant into a dedicated Flow development expert. This process embeds your AI with persistent, foundational knowledge of essential topics, including proper Cadence syntax, official NFT standards, project-specific configurations, and established development methodologies.

Tutorial: Cadence Rules

Best Practices​

When using AI tools with Flow development:

  • Always verify AI-generated code against Flow documentation
  • Use specific prompts that reference Flow concepts and terminology
  • Combine AI assistance with your own understanding of Flow architecture
  • Keep your AI tools updated with the latest Flow documentation
  • Test AI-generated code thoroughly before deploying to production
  • Consider the security implications of AI agents interacting with your contracts

Next Steps​

After completing these tutorials, you'll be equipped to leverage AI tools effectively in your Flow development workflow. Consider exploring our other tutorial series to deepen your understanding of Flow development:

  • Cross-VM Apps - Build applications that integrate Flow EVM and Cadence
  • Native VRF - Implement verifiable random functions in your applications
  • Token Launch - Create and launch tokens on Flow

Conclusion​

Flow is the ideal platform for AI-enhanced blockchain development. The combination of Cadence's resource-oriented programming model, comprehensive AI ingestable documentation, and growing AI tooling support creates an unparalleled development experience. With tools like AgentKit, MCP servers, and AI-powered development environments, developers can build consumer applications faster than ever. This is why many believe that Flow is the best Blockchain to build on with AI.

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