Cursor, the AI Coding Assistant, Secures $900M in Funding

2025-06-06
Cursor, the AI Coding Assistant, Secures $900M in Funding

Anysphere, the lab behind the AI coding assistant Cursor, announced a $900 million funding round at a $9.9 billion valuation. Investors include Thrive, Accel, Andreessen Horowitz, and DST. Cursor boasts over $500 million in ARR and is used by more than half of the Fortune 500 companies, including NVIDIA, Uber, and Adobe. This significant investment will fuel Anysphere's continued research and development in AI-powered coding, furthering their mission to revolutionize the coding experience.

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AI

Cursor 1.0 Released: BugBot, Background Agent, and More!

2025-06-04
Cursor 1.0 Released: BugBot, Background Agent, and More!

Cursor 1.0 is here, bringing a host of new features! BugBot automates code review, identifying potential bugs and suggesting fixes directly within GitHub PRs. The Background Agent is now generally available, accessible via chat or keyboard shortcut. Other highlights include Jupyter Notebook support, a beta 'Memories' feature, one-click MCP installation, and richer chat responses with visualizations. This release significantly boosts developer productivity.

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Development Background Agent

Cursor 0.47 Released: Agent Mode Now Default, Major Performance Boost

2025-03-15
Cursor 0.47 Released: Agent Mode Now Default, Major Performance Boost

Cursor 0.47 focuses on stability and performance improvements, making existing features work better. Agent mode is now the default, unifying Chat, Composer, and Agent into a single, smarter interface. This release also includes enhanced keyboard shortcuts, new themes, UI improvements, multiple image uploads, improved rules and MCP support, and numerous bug fixes. Agent mode boasts automatic web search and smarter code editing and application capabilities.

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Cursor's Clever Algorithm: Character Prefix Conditioning for Accurate Code Completion

2025-01-11
Cursor's Clever Algorithm: Character Prefix Conditioning for Accurate Code Completion

Cursor's blog post dives into a crucial problem in AI code completion: handling character prefixes effectively. Traditional token-based sampling fails when the cursor isn't on a token boundary. The post introduces character prefix conditioning, an algorithm that samples based on character prefixes, ensuring completions start with user input. The post concludes with a challenge: devise an efficient algorithm to sample from this distribution while minimizing calls to the underlying language model.

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Development Code Completion