All content about Cursor
Cursor has made significant advancements in AI-driven coding, with a recent study highlighting a 39% increase in merged pull requests after its AI agent became the default option. The introduction of new enterprise features enhances control and compliance for large engineering teams, while the latest version, Cursor 2.0, offers faster coding capabilities and improved planning tools. These developments position Cursor as a competitive alternative to GitHub Copilot, emphasizing speed and independence in the evolving landscape of AI coding solutions.
A University of Chicago study found Cursor's AI agent increased merged PRs by 39% after becoming default. Senior developers accepted agent edits more often and used it for planning and implementation.
Cursor's new enterprise features — Hooks, Team Rules, upgraded analytics, Audit Log, and Sandbox Mode — improve observability, compliance, and control over AI-driven development. Built for large engineering teams and ...
After a year where GitHub Copilot felt like it was losing momentum, both GitHub and Cursor have made bold moves — one doubling down on ecosystem integration, the other pushing speed and independence with a fresh model and UI. Here’s why their strategies matter, and what it means for developers.
Cursor 2.0 adds Composer, a low-latency coding model up to 4x faster, and a multi-agent interface to run parallel agents. Built-in review and browser testing accelerate verification and iteration.
Plan Mode makes agents research your repo, ask clarifying questions, and produce editable markdown implementation plans with code snippets and file paths. Save plans in your repository to align teams before coding.
Cursor is improving Java LSP performance and project initialization, contributing fixes back to the VS Code ecosystem. Early gains: ~10% faster project imports and debugger scans reduced from 5+ seconds to under 200 ms.
Cursor uses online reinforcement learning in its Tab feature to learn not just what to suggest but when to stay silent. Result: 21% fewer suggestions and a 28% higher accept rate.
Cursor outlined two billing changes affecting Teams and Auto, switching Teams to variable request costs and metering Auto for individuals, effective at each account’s next renewal after September 15.
Cursor Agents can now be accessed on web and mobile, enhancing coding assistance.
Cursor now supports launching Background Agents directly via Slack. This integration enables streamlined development workflows and automated GitHub pull request creation.
If you’re tired of Cursor (or any other AI editor) breaking your code with random errors, this video is for you. I’ll show you how I used Task-Coding to fix 90% of the issues that come from vibe-coding. This method gives Cursor clear structure, better context, and way fewer mistakes. Watch me build a full app with multiple pages, charts, and auth—error-free.
Might be worth noting that using the MAX mode can eat up your costs. You get billed per token for the full context window of the entire chat. There are a few other chat models that you can use without being on MAX mode that still have a great context window, such as the gemini models.
Got a lot of questions asking about my stack and what I do when vibe coding. So I made a full video on it!
Learn how to integrate Claude Code 4 with Cursor in this step-by-step tutorial. This new feature from Anthropic brings full Claude Code support to the Cursor AI IDE, giving you new features, like inline diff views and real-time code context, all within your favorite IDE. I’ll walk you through the setup process for Cursor and explain key features that make this integration of the best AI coding agent upgrades yet.
I show you how I build real features for Inbox Zero using task-list.mdc.