Compare Cursor and Supermaven side by side. Both are tools in the Coding Agents category.
Updated March 10, 2026
Choose Cursor if deep context awareness with codebase indexing for project-specific suggestions.
Choose Supermaven if production-ready.
Want to compare Cursor and Supermaven on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Coding Agents | Coding Agents |
| Pricing | Freemium | — |
| Best For | Developers who want the deepest AI integration in their code editor | — |
| Website | cursor.com | supermaven.com |
| Key Features |
| — |
| Use Cases |
| — |
Key criteria to evaluate when comparing Coding Agents solutions:
Cursor is an AI-native code editor built as a fork of VS Code, designed from the ground up for AI-assisted development. Created by Anysphere, a company founded in 2022 by Michael Truell (CEO), Sualeh Asif, Arvid Lunnemark, and Aman Sanger, Cursor has become the fastest-growing SaaS product in the AI coding space.
The editor features intelligent code completion, multi-file editing, codebase-aware chat, and an agent mode that can autonomously plan and execute coding tasks. Cursor indexes your codebase to create vector representations for accurate, project-specific suggestions rather than generic code. It supports 26 LLMs from OpenAI, Anthropic, Google, xAI, and DeepSeek, with quick integration of new models as they release.
Cursor reached $100 million ARR in January 2025 within 20 months of launch, growing to $500 million ARR by November 2025. The company raised $3.5 billion in total funding at a $29.3 billion valuation. With over 1 million daily active users and 50,000+ business customers, Cursor has a thriving community of 73,000+ subreddit members and 30,000+ GitHub stars.
AI platform providing comprehensive solutions for enterprise applications. The platform provides essential capabilities for modern AI applications with focus on scalability and reliability.
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
Browse all Coding Agentstools →One platform for routing, observability, tracing, and evals across every LLM provider.