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Jakarta, Pintu News – Cursor AI is an artificial intelligence-based Integrated Development Environment (IDE) specifically designed to increase the speed of software development.
Built as a fork of VSCodium (an open-source version of VS Code), Cursor integrates a large language model (LLM) directly into its core application architecture. This allows the AI to have a deep understanding of the entire project structure, not just the file the user is opening.
Cursor AI’s pricing structure is divided into three main categories to match the scale of user needs:
| Package | Cost Estimation | Key Features |
| Hobby | Free | 2000 code completions, 50 premium requests per month. |
| Pro | $20/month | Unlimited completions, 500 premium requests, priority access to the latest models. |
| Business | $40/user/month | Pro features with enterprise data security (code not used for AI training). |
Cursor AI offers functionality that goes beyond just autocomplete text:
Also read: What is Devin AI? The First AI Software Engineer
Cursor AI was developed by Anysphere, a San Francisco-based technologystartup founded by a team from MIT. The CEO position is held by Michael Truell, who leads the core team alongside Sualeh Asif, Arvid Lunnemark, and Aman Sanger. The project received significant financial support from the OpenAI Startup Fund and Andreessen Horowitz (a16z).

The popularity of Cursor AI is increasing rapidly due to its ability to overcome the limitations of traditional plugin AI:
cursor.com. During initial setup, users can import all settings and extensions from VS Code.Placeholder polylang do not modify
Cursor AI is very effective for speeding up the creation of data analysis scripts or trading bots. Users can simply open an empty folder and use the Composer feature (Ctrl + I) with specific instructions:
“Create a Python script using the
yfinancelibrary to retrieve BBCA stock data. Calculate the RSI (Relative Strength Index) indicator. If the RSI is below 30, give a ‘Buy’ indication and if it is above 70 give a ‘Sell’ indication. Display the results in a Matplotlib chart.”
AI Deliverables:
Cursor will automatically create .py files, import necessary libraries, write technical calculation logic, and handle data visualization. If the libraries are not already installed, AI will provide installation commands that can be executed in the terminal with a single click. This cuts API documentation research time from hours to seconds.
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