Vibe Coding Algos with AI

This page is currently being developed. Check back soon for complete documentation.

Coming Soon

This how-to guide will cover:

• Installing and configuring AI tools that integrate with MCP servers (VS Code, Cursor, Claude, ChatGPT, Replit, etc.)

• Installing the Datafye SDK MCP Server on your local machine

• Starting the SDK MCP Server

• Connecting your AI tool to the SDK MCP Server

• Learning the Datafye SDK conversationally

• Generating algo code from natural language descriptions

• Getting code examples for common patterns (subscriptions, order placement, etc.)

• Understanding SDK best practices through AI assistance

• Switching between Python and Java SDK guidance

• Debugging SDK code interactively

• Building complete strategies with AI assistance

• Example conversations and workflows

• Multi-server setup (using both SDK and Environment MCP servers)

What You'll Need

Before following this guide, ensure you have:

• Node.js - Required to run the SDK MCP Server (download from nodejs.org)

• AI tool that integrates with MCP servers - VS Code, Cursor, Claude, ChatGPT, Replit, or other MCP-compatible tool (most useful with coding assistants)

• Datafye SDK knowledge (optional) - Helpful but not required; the MCP server teaches you

Overview

The SDK MCP Server runs on your local development machine and provides your AI tool with comprehensive knowledge about the Datafye SDK:

• SDK API reference and method signatures

• Code examples for common patterns

• Best practices for algo development

• Language-specific guidance (Python vs Java)

• Error handling strategies

By connecting your AI tool to this server, you can write algo code conversationally without constantly referencing documentation. This is especially powerful when using coding assistants that can directly apply the generated code.

"Vibe Coding" Explained

"Vibe coding" is a development style where you describe what you want in natural language and your AI tool generates appropriate code:

Traditional approach:

1. Read SDK docs to find the right methods

2. Look up method signatures and parameters

3. Copy examples and adapt them

4. Debug when things don't work

5. Repeat

Vibe coding with SDK MCP:

1. Describe what you want: "I need to subscribe to 1-minute OHLC bars for AAPL"

2. Your AI tool generates correct SDK code using best practices

3. Iterate conversationally until it works

4. Learn SDK patterns as you go

Use Cases

The SDK MCP Server is great for:

• Learning the SDK - Ask questions and get instant, accurate answers

• Rapid prototyping - Quickly build strategy ideas without manual coding

• Best practices - Learn proper error handling, state management, etc.

• Cross-language - Switch between Python and Java SDK guidance

• Complex strategies - Build sophisticated algos through conversation

Need Help Now?

While we finalize this documentation, you can:

• Understand the concept — SDK MCP Server explains what it is and how it works

• Review SDK docs — Algo SDK Reference for detailed SDK documentation

• Build without AI first — Building Your First Algo to understand the basics

• Learn about environment exploration — Exploring Deployments with AI for deployment-focused AI assistance

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Last updated: 2025-10-23