Compare Cursor and ECA 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 ECA if production-ready platform.
Want to compare Cursor and ECA 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 | Free (open-source) |
| Best For | Developers who want the deepest AI integration in their code editor | Developers who use non-mainstream editors and want AI assistance without vendor lock-in |
| Website | cursor.com | eca.dev |
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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 offers robust features for production AI deployment with focus on scalability, reliability, and developer experience. Suitable for teams building modern AI systems at scale.
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.