---
title: "Agentic Development"
description: "Learn how to speed up your development with agents in your IDEs"
---

# Agentic Development

Give your AI IDE access to Arcade.dev's documentation using the [llms.txt](/llms.txt) file, or use [context7](https://context7.com/arcadeai/docs). This allows Claude Code, Cursor, and other AI IDEs to access the documentation and help you write code.

## LLMs.txt

LLMs.txt is a file format that allows you to give your AI IDE access to Arcade.dev's documentation in a format that the LLM can parse. All you need to do is paste in the content of the file into your IDE's settings, or reference the docs, for example via [Cursor's `@docs` annotation](https://cursor.com/docs/context/symbols#docs).

The LLMs.txt files are available at [`/llms.txt`](/llms.txt).

![LLMs.txt example](/images/agentic-development/cursor-llms-txt.png)

Learn more about the LLMs.txt file format [here](https://llmstxt.org/).

## Context7

Context7 is an MCP server designed to provide Large Language Models (LLMs) and AI code editors with up-to-date, version-specific documentation and code examples. It helps prevent AI models from "hallucinating" or providing outdated code by fetching accurate information directly from its knowledge base and injecting it into the LLM's prompt, ensuring more reliable and accurate coding assistance

To use Context7, you first need to add the [Context7 MCP server](https://github.com/upstash/context7) to your editor, and then select the [`arcadeai/docs` project](https://context7.com/arcadeai/docs).

Learn more about Context7 [here](https://context7.com/).