Todo2 is a tool that integrates with Cursor to streamline project management through a structured 4-step process. It creates intelligent tasks based on user requests, ensuring quality and oversight while allowing developers to manage projects efficiently.

This article details how Cursor developed its coding agent, Composer, which enhances AI-driven coding tasks. It discusses the challenges faced in creating a reliable system that can edit code, manage latency, and ensure safety during execution. The piece also explains the technical architecture behind this coding agent.

Cursor has acquired Graphite, a startup focused on AI-driven code review and debugging. The deal, valued significantly above Graphite's last $290 million valuation, aims to integrate Graphite's unique "stacked pull request" feature with Cursor's existing AI tools, improving the efficiency of code development and review.

Salesforce has integrated Cursor into its engineering workflow, resulting in over 30% gains in development speed and code quality. The tool has been particularly beneficial for both junior and senior engineers, helping them automate tedious tasks and improve understanding of the codebase. Metrics like cycle time and bug count show significant improvements since adopting Cursor.

This article explains how to enhance your understanding of AI products using Cursor, an AI coding agent. It provides a step-by-step guide to setting up and using Cursor for non-technical tasks, aiming to help users gain confidence in their AI product decision-making.

Cursor efficiently upgraded HoneyBook's Storybook from version 6 to 8 in just two hours by leveraging AI for code refactoring and workflow management. The process involved breaking tasks into smaller, manageable steps, setting clear success criteria, and using Cursor's built-in capabilities to automate code migration and validation. This approach significantly reduced the time typically required for such upgrades, freeing developers to focus on other priorities.

The article discusses the significant role of cursor technology in enhancing the efficiency of AI systems, particularly in processing and managing large amounts of data. It highlights how cursor serves billions of AI transactions, optimizing performance and user experience across various applications.