Cursor 3: A Unified Workspace for Developing with AI Agents

Cursor has released Cursor 3, a redesigned interface for developing with AI agents. It brings local and cloud agents into a single workspace, lets you run several agents in parallel, and lets you move sessions between the cloud and the desktop. The company dropped the VS Code extension approach and built a new interface from scratch, centered on working with agents. The shift is from manual code editing to teams of AI agents that write most of the functionality on their own.

AI-processed from Cursor Blog; edited by Hamidun News
Cursor 3: A Unified Workspace for Developing with AI Agents
Source: Cursor Blog. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
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Primary sourceCursor Blog ↗
Editor-in-Chief
Key metric #1Local agents run on your machine with high Composer 2 usage limits
Key metric #2Cloud agents handle long-running tasks and can keep working while you are offline
Key metric #3A built-in browser lets agents open, navigate and test local sites

Cursor has released Cursor 3, a completely redesigned interface for developing with AI agents. The company abandoned the VS Code extension model and built a new interface from scratch, centered on working with agents. That means a shift from manual code editing to teams of AI agents that write most of the functionality on their own.

A new interface for a team of agents

Cursor 3 is a unified workspace where a human and agents work together across different repositories. The traditional IDE interface with a file panel is still there, but the focus is now on working with agents.

The sidebar shows all local and cloud agents, including those you launched from the mobile app, the web, the desktop, Slack, GitHub or Linear. You can track each agent separately and see its current task and results. Cloud agents produce demos and screenshots of their work, so you can verify results right in the interface without opening extra windows.

Developers used to jump between Slack, GitHub, Linear and their own code editor. Now everything is integrated into one workspace.

Parallel work and cloud agents

One of the key features of Cursor 3 is running several agents at once. Previously, a developer could work with only one agent at a time and had to wait for results. Now it is easy to launch several agents for different tasks and follow their progress in parallel.

  • Local agents run on your machine with high Composer 2 usage limits
  • Cloud agents handle long-running tasks and can keep working while you are offline
  • A built-in browser lets agents open, navigate and test local sites
  • Quick integration with Slack, GitHub and Linear lets you launch agents from different places
  • Plugins from Cursor Marketplace extend what agents can do

This changes the workflow radically: instead of micromanaging each agent, a developer can start parallel work and focus on strategy.

Syncing between cloud and local

The main innovation in Cursor 3 is a simple way to move an agent session between the cloud and a local machine. It solves two problems.

First, if an agent is running in the cloud and you urgently need to make changes or test code locally, you just move the session to your computer. There you can edit code in a full-featured editor, use Composer 2 (Cursor's own frontier model with high limits) and test everything on your local machine. When you are done, you send it back to the cloud.

Second, a local session can be moved to the cloud for long-running tasks. If you want an agent to work overnight, or you need more power than your laptop offers, just hand the work to the cloud. The agent keeps running while you sleep or move on to a new task.

The new diff view also makes it easier to review and edit changes. Instead of a complicated interface with many menu items, it is just edit, commit, manage PR.

What this means

Cursor 3 signals a move into a third era of software development. In the first era, developers wrote all the code by hand. In the second, they began using AI to help edit files. Now comes an era in which teams of AI agents work almost autonomously and write most of the functionality.

This is not just a cosmetic interface update. It is a rethinking of how humans and AI interact during development. Instead of micromanaging each agent, the developer moves up to the level of strategy and verifying results.

Do you need changes on the frontend? I launch two agents in parallel. Need an urgent fix on the server? I move the cloud session to local and fix it quickly.

Story

Key Questions Answered

What are the key details on A new interface for a team of agents?

Cursor 3 is a unified workspace where a human and agents work together across different repositories. The traditional IDE interface with a file panel is still there, but the focus is now on working with agents. The sidebar shows all local and cloud agents, including those you launched from the mobile app, the web, the desktop, Slack, GitHub or Linear. You can track each agent separately and see its current task and results. Cloud agents produce demos and screenshots of their work, so you can verify results right in the interface without opening extra windows. Developers use

What are the key details on Parallel work and cloud agents?

One of the key features of Cursor 3 is running several agents at once. Previously, a developer could work with only one agent at a time and had to wait for results. Now it is easy to launch several agents for different tasks and follow their progress in parallel. Local agents run on your machine with high Composer 2 usage limits Cloud agents handle long-running tasks and can keep working while you are offline A built-in browser lets agents open, navigate and test local sites Quick integration with Slack, GitHub and Linear lets you launch agents from different places Plugins

What are the key details on Syncing between cloud and local?

The main innovation in Cursor 3 is a simple way to move an agent session between the cloud and a local machine. It solves two problems. First, if an agent is running in the cloud and you urgently need to make changes or test code locally, you just move the session to your computer. There you can edit code in a full-featured editor, use Composer 2 (Cursor's own frontier model with high limits) and test everything on your local machine. When you are done, you send it back to the cloud. Second, a local session can be moved to the cloud for long-running tasks. If you want an ag

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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