Build And Debug Ai Pipelines In An Ide With Rocketride

---
name: "Build and debug AI pipelines in an IDE with RocketRide"
slug: "build-and-debug-ai-pipelines-in-an-ide-with-rocketride"
description: "Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes."
github_stars: 3935
verification: "security_reviewed"
source: "https://github.com/rocketride-org/rocketride-server"
author: "RocketRide"
publisher_type: "organization"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "rocketride-org/rocketride-server"
  github_stars: 3935
  npm_package: "rocketride"
  npm_weekly_downloads: 635
---

# Build and debug AI pipelines in an IDE with RocketRide

Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.

## Prerequisites

RocketRide IDE extension or RocketRide server, Docker for container deployment, optional Python or TypeScript SDKs

## Installation

Use the upstream install or setup path that matches your environment:
- docker pull ghcr.io/rocketride-org/rocketride-engine:latest
- docker create --name rocketride-engine -p 5565:5565 ghcr.io/rocketride-org/rocketride-engine:latest

Requirements and caveats from upstream:
- <img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/develop/images/icon-python.png" alt="Python" />&nbsp;&nbsp;
- <a href="https://pypi.org/project/rocketride/">Python SDK</a> |
- _Drop pipelines into any Python or TypeScript app with a few lines of code, no infrastructure glue required._

Basic usage or getting-started notes:
- <img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/develop/images/screenshot-ide.png" alt="Build and run AI pipelines inside your IDE" width="100%">
- | **Visual Pipeline Builder** | Drag, connect, and configure nodes in VS Code, no boilerplate. Real-time observability tracks token usage, LLM calls, latency, and execution. Pipelines are portable JSON, version-contro...
- Install the extension for your IDE. Search for RocketRide in the extension marketplace:

- Source: https://github.com/rocketride-org/rocketride-server
- Extracted from upstream docs: https://raw.githubusercontent.com/rocketride-org/rocketride-server/HEAD/README.md

## Documentation

- https://docs.rocketride.org/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/build-and-debug-ai-pipelines-in-an-ide-with-rocketride/)