AI Coding Platform Cursor Raises $2.3 Billion, Valued Now at $29.3 Billion

Written by: Mane Sachin

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Cursor Secures $2.3 Billion in Series D Funding to Expand Its Intelligent Coding Platform

Cursor, a coding platform, has raised $2.3 billion in a Series D funding round, bringing its valuation to $29.3 billion, the company announced on Thursday.

The round saw participation from existing investors Accel, Thrive, Andreessen Horowitz, and DST, with Coatue, NVIDIA, and Google joining as new investors.

The company said the fresh capital will fuel its ongoing research and product development. “This funding will allow us to invest deeply in our research and build Cursor’s next magical moments,” the team shared.

Launched two years ago to create a next-generation development environment, Cursor said its mission is to build “a code editor that is more helpful, delightful, and fun than anything the world has seen,” envisioning a workspace where “it’s impossible to write bugs.”

The startup has grown to a team of more than 300 engineers, researchers, designers, and operators, with plans to expand further. Cursor also reported surpassing $1 billion in annualised revenue and serving millions of developers, including many of the world’s top engineering organisations.

According to the company, its proprietary models now produce more code than nearly any other large-scale systems globally.

Research Highlights Cursor’s Growing Impact on Software Development

Cursor said the Series D round marks a new stage in its mission to transform how software is written. “We’re driven by the magical milestones in programming history,” the team said, adding that “the potential for what Cursor can become is vast, and there’s still much to achieve.”

The announcement follows new academic research examining Cursor’s effect on engineering workflows. A study by Suproteem Sarkar, assistant professor at the University of Chicago, found that companies merged 39% more pull requests after Cursor’s agent became the default development assistant. The study compared early adopters with organisations that had not yet used the platform.

The research further revealed that senior developers are more inclined to accept automated code suggestions. “For every standard deviation increase in experience, we see a corresponding rise in the rate of agent acceptances,” Sarkar observed. The study also noted that experienced developers tend to plan tasks more carefully before generating code.

Cursor said the findings illustrate how developers are adapting to new intelligent coding tools.

The company added that revert rates remained stable and bugfix rates slightly decreased, suggesting that overall code quality has been maintained.

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Mane Sachin

My name is Sachin Mane, and I’m the founder and writer of AI Hub Blog. I’m passionate about exploring the latest AI news, trends, and innovations in Artificial Intelligence, Machine Learning, Robotics, and digital technology. Through AI Hub Blog, I aim to provide readers with valuable insights on the most recent AI tools, advancements, and developments.

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