Prerequisites
- Visual Studio Code with Cursor AI extension installed
- Python 3.x and
venvsupport - Z Shell (Zsh) configured as your default shell
1. Open the Integrated Terminal
Open the terminal via Terminal > New Terminal (or press Ctrl+ on Windows/Linux, ⌘+ on macOS). You’ll start in a Z Shell session:
| Action | Shortcut / Command | Description |
|---|---|---|
| Open Terminal | Ctrl+ / ⌘+ | Launches the integrated terminal |
| Command Palette | Ctrl+Shift+P / ⌘+Shift+P | Opens the Command Palette for NL commands |
2. Generate a Flask API Project
Invoke the Command Palette (Ctrl+Shift+P / ⌘+Shift+P) and type your natural-language instruction:“Create a Flask API project with SQLAlchemy.”After hitting Enter, Cursor AI runs:
3. Set Up a Python Virtual Environment
Next, ask:“Create a Python virtual environment and activate it.”
Using virtual environments isolates dependencies per project. Always activate your
venv before installing packages.4. Install Testing and Database Drivers
Ask Cursor AI:“Install PyTest and the PostgreSQL driver.”
requirements.txt:
5. Handling Import Errors
If you encounter:6. Best Practices for Natural Language Commands
| Best Practice | Description |
|---|---|
| Be Specific Yet Concise | Focus on required packages, directories, or flags without fluff. |
| Include Essential Details | Specify file names, frameworks, or versions in your instruction. |
| Iterate: Run, Observe, Refine | Adjust your prompt based on Cursor’s output for accuracy. |
| Combine Related Tasks | Group folder creation, file initialization, and dependency installs. |
| Learn from AI Suggestions | Study generated commands to level up your CLI proficiency. |
Overly vague instructions may lead to unexpected operations. Always review generated commands before executing.
By leveraging Cursor AI’s natural language commands, you reduce context switching and automate routine setup tasks. Extend this workflow to SSH sessions, container orchestrations, and more advanced development scenarios.