Cursor 3 is a completely redesigned AI coding assistant that replaces traditional IDE elements with a streamlined interface, enabling users to manage multiple AI agents across projects, automate development workflows, and seamlessly switch between local and cloud-based agents for enhanced productivity. It also features a cost-effective, high-performance AI model, a new marketplace for extensions, and offers educational resources to help developers master AI agent-driven coding.
The video introduces Cursor 3, a major update to the Cursor AI coding assistant, which has been completely rebuilt from the ground up. Unlike traditional IDEs, Cursor 3 removes typical elements like file trees, terminals, and tabs, opting instead for a streamlined interface that displays all projects and workspaces in a single view. This design allows users to quickly launch and manage multiple AI agents across different projects simultaneously. The presenter demonstrates Cursor 3’s capabilities by fixing a bug in his YouTube engine project, showcasing how the AI agent can read code, implement fixes, run ESLint and TypeScript checks, and even test changes using an embedded browser controlled by the agent itself.
One of the standout features highlighted is the AI agent’s ability to interact with the application’s UI autonomously. For example, the agent installs a new skill by navigating to the appropriate page, filling out installation details, and verifying the update on the dashboard. The entire development workflow, including creating branches, committing changes, pushing to GitHub, and opening pull requests, is seamlessly integrated within Cursor 3’s interface. This end-to-end automation significantly streamlines the coding and review process, reducing the need for manual intervention.
Cursor 3 also supports running multiple agents in parallel across various projects and workspaces, with easy switching between local and cloud-based agents. The cloud agents enable users to offload long-running tasks to remote servers, allowing them to close their machines while the AI continues working. The presenter demonstrates this by handing off a session to a cloud agent, monitoring progress remotely via cursor.com, and then retrieving the completed work back to the local environment for review and further action. This hybrid local-cloud model enhances flexibility and productivity for developers.
The video further discusses the performance and cost benefits of Cursor’s Composer 2 model, which is both faster and more affordable compared to popular alternatives like OpenAI’s GPT-4.6. Composer 2 offers competitive speed and cost efficiency, with a “fast” variant available for users needing quicker responses at a slightly higher price. This cost-effectiveness is a key reason the presenter prefers Cursor over other AI coding tools. Additionally, Cursor 3 includes a new marketplace where users can browse and integrate various skills, rules, sub-agents, and other extensions, making it easier to customize and extend the platform’s capabilities.
Finally, the presenter encourages viewers to explore Cursor 3’s new interface, accessible via a simple keyboard shortcut, and highlights additional resources such as his agent coding masterclass course. This course covers foundational concepts and advanced patterns for building AI agent-driven solutions, providing a comprehensive learning path for developers interested in this emerging technology. The video concludes with a call to action to like, subscribe, and check out the course for those eager to deepen their understanding of AI-assisted coding.