How Cursor Uses GPT
9 engineering articles about GPT from Cursor's engineering team
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Cursor's research team details their iterative journey building a multi-agent system capable of orchestrating thousands of AI coding agents to autonomously develop a web browser.
17 min read
Includes Code
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The article discusses the advancements in scaling long-running autonomous coding agents, focusing on the challenges and solutions encountered while coordinating multiple agents to complete complex ...
The article discusses enhancements made to Cursor's agent for OpenAI Codex models, particularly focusing on the integration of the latest model, GPT-5. 1-Codex-Max.
The article discusses Cloud Agents, a feature that allows users to run multiple agents simultaneously without needing a constant internet connection.
2 min read
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The article discusses Composer, a new agent model designed for software engineering that achieves coding results four times faster than similar models.
GPT-5 is now available in Cursor, OpenAI's most powerful model, which has shown effectiveness in coding tasks.
The article addresses recent pricing changes for the Cursor Pro plan, acknowledging communication shortcomings and outlining the new pricing structure.
The article discusses the inference characteristics of the Llama-2-70B language model, comparing its performance and cost against OpenAI's GPT-3. 5.
Aman
17 min read
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The article discusses the concept of 'prompt design' and draws parallels between prompting in AI and web design.
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