- Give your AI IDE access to Arcade.dev's documentation using our
- llms.txt files (
-
- short llms.txt
-
- ,{" "}
-
- llms-full.txt
-
- ), or use{" "}
-
+
- context7
-
- .
+ Learn how to give your coding agents access to Arcade.dev's
+ documentation
+
diff --git a/app/en/home/_meta.tsx b/app/en/home/_meta.tsx
index ca00c84ba..228bac1ef 100644
--- a/app/en/home/_meta.tsx
+++ b/app/en/home/_meta.tsx
@@ -144,6 +144,9 @@ export const meta: MetaRecord = {
faq: {
title: "FAQ",
},
+ "agentic-development": {
+ title: "Agentic Development",
+ },
changelog: {
title: "Changelog",
},
diff --git a/app/en/home/agentic-development/page.mdx b/app/en/home/agentic-development/page.mdx
new file mode 100644
index 000000000..d569ccc30
--- /dev/null
+++ b/app/en/home/agentic-development/page.mdx
@@ -0,0 +1,29 @@
+---
+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 our llms.txt files (short [llms.txt](https://docs.arcade.dev/llms.txt), [llms-full.txt](https://docs.arcade.dev/llms-full.txt)), 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 can be easily parsed by the LLM. All you need to do is paste in the conent of the file into your IDE's settings, or reference the docs, e.g. via [Cursor's `@docs` annotation](https://cursor.com/docs/context/symbols#docs).
+
+Our LLMs.txt files are available in two versions:
+
+- [`https://docs.arcade.dev/llms.txt`](https://docs.arcade.dev/llms.txt) - a short version of the documentation index
+- [`https://docs.arcade.dev/llms-full.txt`](https://docs.arcade.dev/llms-full.txt) - a full version of the documentation
+
+
+
+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 It helps prevent AI models from "hallucinating" or providing outdated code by fetching accurate information directly from its knowledge base and injecting it into the LLM's prompt, ensuring more reliable and accurate coding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/).
diff --git a/public/images/agentic-development/cursor-llms-txt.png b/public/images/agentic-development/cursor-llms-txt.png
new file mode 100644
index 000000000..98316a7ba
Binary files /dev/null and b/public/images/agentic-development/cursor-llms-txt.png differ