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Cursor is no longer trying to improve only the way we write code. With Origin, the company is now moving into another part of the development workflow: where repositories are hosted, where pull requests are created and where developers manage the changes produced by AI agents. The idea is fairly easy to understand. If more and more development work is going to be handled by agents capable of modifying entire codebases, why should the editor, the agent, the repository and the pull request remain completely separate?
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Google already had an answer for developers looking for a fast and affordable Gemini model. With Gemini 3.7 Flash, the question is a little different: Can you actually use a Flash model for serious software development without constantly having to fix its work?
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The arrival of Grok 4.6 in Cursor marks a new step in the race for models that can work directly on software projects. After a Grok 4.5 that was already very interesting for development, this version focuses on what matters most with coding agents: understanding an entire project, chaining multiple steps, and delivering usable results with as little intervention as possible. But beyond the scores shown on benchmarks, one question remains essential: is Grok 4.6 actually useful in day-to-day work inside Cursor? After looking at its performance, pricing, and various tests on real projects, the model appears particularly relevant for certain tasks. However, it does not systematically replace high-end models in every situation.
