Snippy FAQs

Question 1

What Azure services does Snippy use?

Accepted Answer

Snippy utilizes Azure Functions, Durable Functions, Azure OpenAI, Azure Cosmos DB, Azure Blob Storage, and Azure AI Agents service to provide its functionality. Durable Functions ensure reliable workflows, while Azure OpenAI and AI Agents offer advanced AI capabilities.

Question 2

What is Snippy?

Accepted Answer

Snippy is a serverless code snippet management service built on Azure Functions, leveraging AI with Azure OpenAI and AI Agents. It provides semantic search, code analysis, and generates style guides, exposing functionalities as MCP tools for clients like GitHub Copilot.

Question 3

What are the key features of Snippy?

Accepted Answer

Snippy offers features like saving snippets to Blob Storage, generating embeddings with Azure OpenAI, semantic search using Cosmos DB, code analysis with Azure AI Agents, and exposing operations as MCP tools. It also uses Durable Functions for robust workflows.

Question 4

How does Snippy integrate with GitHub Copilot?

Accepted Answer

Snippy exposes all snippet operations as Model Context Protocol (MCP) tools. This allows GitHub Copilot to directly call functions within Snippy to save, retrieve, analyze, and generate style guides for code snippets.

Question 5

What is Model Context Protocol (MCP) and how does Snippy use it?

Accepted Answer

MCP allows applications to advertise and execute custom tools for Large Language Models (LLMs). Snippy utilizes Azure Functions remote MCP trigger to expose its functionality, enabling seamless integration with LLMs like GitHub Copilot.

Snippy

Snippy

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주요 기능

사용 사례