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SpaceX acquires AI coding platform Cursor for $60 billion

SpaceX will acquire AI coding tool Cursor for $60 billion in an all-stock transaction, the companies announced today. The deal is expected to close in the third quarter. It comes just two days after SpaceX’s unprecedented IPO and a few months after the merger of SpaceX and xAI, which brought a significant restructuring of xAI. […]

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DataRobot for Cursor

Build with Cursor and deploy production-ready AI agents on DataRobot

Cursor has changed how developers write code. The agent mode is good: you describe what you want, it reasons through the problem, picks the right tools, and ships working code. For greenfield projects and standard libraries, it works smoothly. Where it gets harder is when you’re building agents on a specialized platform with its own

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Anatomy of a Basic Skill

DataRobot for Developers: Skills in Cursor, Gemini, and Claude

The hardest part of building against a new platform is teaching your tools about it. Your coding agent doesn’t know the SDK’s conventions. Your IDE doesn’t know the CLI commands. Your terminal doesn’t know the auth pattern. Every gap is a context switch, and every context switch is time spent away from the work. DataRobot

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Four developer workflows using DataRobot Skills, MCP, templates, agent assist, and LLM Gateway.

DataRobot for Developers: Skills, MCP, and the agentic developer surface

You shouldn’t have to leave Cursor to build, deploy, or monitor a production-grade agent. You can wire together LangChain, a vector DB, a monitoring tool, and a deployment pipeline yourself, but you’ll spend more time on that plumbing than on the agent itself. DataRobot is the shortcut. It now lives where you build, integrating directly

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90% of Salesforce’s Engineers Use Cursor Every Day 

Cursor, an AI-powered coding tool, has revealed that over 20,000 engineers within SaaS giant Salesforce use its platform as a part of their daily software development workflow.  This accounts for more than 90% of the company’s engineers, resulting in a 30% increase in pull request (PR) velocity. “I would say that it’s 0 to 1

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