Brief Summary
The video discusses the evolution of Cursor, an AI-powered code editor, from version 1.0 to the latest 3.0. It highlights the shift from AI-assisted coding to AI-driven development using agents. The video also covers the controversy around Cursor's Composer 2 model, its performance benchmarks, and its underlying technology. Additionally, it showcases a practical example of using Cursor 3.0 to rapidly prototype a project with AI agents.
- Cursor has evolved from a VS Code fork with AI autocomplete to a platform for managing AI agents that can build entire features.
- Cursor's new Composer 2 model, while initially touted as a breakthrough, is based on Moonshot's Kimmy K2 model with additional reinforcement learning.
- Cursor 3.0 is built from scratch with Rust and TypeScript, featuring a new interface focused on managing AI agents across multiple environments.
Introduction to Cursor's Evolution
The video starts by introducing Cursor, an AI-powered code editor, and its evolution over the past two years. Initially, Cursor 1.0 was a VS Code fork that provided AI-powered code autocompletion. Cursor 2.0 introduced an upgraded chat view capable of controlling the terminal to build entire features. The latest version, Cursor 3.0, aims to shift the user's role from coding to managing AI agents across multiple repositories, machines, and cloud environments.
Composer 2 Model and Controversy
The video discusses Cursor's new in-house coding model, Composer 2, which initially showed impressive performance on benchmarks, surpassing Claude Opus in speed and cost-efficiency. However, it was later revealed that Composer 2 is based on Moonshot's Kimmy K2 model. This lack of transparency led to controversy, as Kimmy itself has faced accusations of training on Claude's outputs. Despite the initial deception, Cursor released a technical report detailing their reinforcement learning methods. The model's speed, efficiency, and cost-effectiveness make it valuable for the future of programming.
Cursor 3.0 Interface and Features
To facilitate the shift from coding to agent management, Cursor 3.0 has been rewritten in Rust and TypeScript. While the original VS Code editor remains, the new interface focuses on managing AI agents, allowing users to largely bypass direct code manipulation. This new environment combines a professional development environment with language servers, file systems, remote SSH access, and the ability to run multiple agents simultaneously.
Practical Application: Building Horse Tinder with AI Agents
The video demonstrates Cursor 3.0's capabilities by prototyping a "Horse Tinder" application using AI agents. The presenter initiates a fresh project and uses plan mode to establish a basic architecture. Simultaneously, other agents work on a landing page and perform remote tasks on a cloud server. The interface allows seamless management of multiple agents in parallel, with status indicators for required human input or completed tasks. Within minutes, the agents generate 13,000 lines of code, accessible through Git history, a terminal, and a file explorer. The built-in browser allows direct interaction with the application. Design mode enables users to request changes by highlighting elements and instructing the AI to fix them.
Blacksmith Sponsorship
The video promotes Blacksmith, a sponsor, as a drop-in replacement for GitHub runners that accelerates GitHub Actions while reducing costs. Blacksmith achieves this by running actions on bare metal gaming CPUs, enhancing single-core performance. It also provides full observability for GitHub Actions, aiding in troubleshooting CI pipeline issues, especially when AI agents generate large amounts of code.
