Best AI IDEs for Cursor

x
View:
Open Source Commercial

Compare the Top AI IDEs that integrate with Cursor as of November 2025

Sort By:
Cursor AI IDEs Clear Filters

This a list of AI IDEs that integrate with Cursor. Use the filters on the left to add additional filters for products that have integrations with Cursor. View the products that work with Cursor in the table below.

What are AI IDEs for Cursor?

AI IDEs (Integrated Development Environments) are advanced coding platforms that incorporate artificial intelligence to assist developers in writing, debugging, and optimizing code more efficiently. They offer AI-powered features such as code completion, error detection, automated refactoring, and intelligent code suggestions based on context and best practices. These environments can also provide natural language code generation, real-time code analysis, and integration with machine learning frameworks. By enhancing productivity and reducing coding errors, AI IDEs help developers accelerate software development and improve code quality. They are increasingly used across various programming languages and development domains. Compare and read user reviews of the best AI IDEs for Cursor currently available using the table below. This list is updated regularly.

  • 1
    Agentforce Vibes
    Agentforce Vibes introduces vibe coding, a generative AI–powered approach that lets developers convert natural language instructions into production-ready Salesforce applications with enterprise-grade security, governance, and infrastructure. Unlike simpler vibe coding tools aimed at prototyping, Agentforce Vibes supports the full development lifecycle, ideation, building, testing, deployment, and observability, while integrating with Salesforce’s platform and trust layers. It functions as an AI-powered IDE (usable within VS Code or any VS Code-compatible environment) that understands your Salesforce schema and metadata, enabling features such as agentic code generation (Apex, HTML, CSS, JavaScript), intelligent rule enforcement, test case generation, debugging, rollbacks, and natural language DevOps. It supports multiple language models, is extensible via Model Context Protocol (MCP) with over 20 built-in tools, and allows reuse of existing code.
    View Software
  • Previous
  • You're on page 1
  • Next

Related Categories