Cursor AI
Terminal Productivity
Demo Natural Language Commands
Explore how Cursor’s integrated terminal—powered by Visual Studio Code—lets you run plain-language instructions to automate your development workflow.
Prerequisites
- Visual Studio Code with Cursor AI extension installed
- Python 3.x and
venv
support - 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:
jeremy@MACSTUDIO kodekloud1 % ps
PID TTY TIME CMD
70600 ttys000 0:00.00 -zsh
80016 ttys002 0:00.01 /bin/zsh -i
80061 ttys006 0:00.02 /bin/zsh -i
jeremy@MACSTUDIO kodekloud1 % ls -la
total 0
drwxr-xr-x 2 jeremy staff 64 Mar 24 21:26 .
drwxr-xr-x 28 jeremy staff 896 Mar 24 21:26 ..
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:
jeremy@MACSTUDIO kodekloud1 % mkdir -p app/models app/routes \
&& touch app/__init__.py app/models/__init__.py app/routes/__init__.py \
&& echo -e "flask\nflask-sqlalchemy\nflask-migrate" > requirements.txt
3. Set Up a Python Virtual Environment
Next, ask:
“Create a Python virtual environment and activate it.”
jeremy@MACSTUDIO kodekloud1 % python3 -m venv venv && source venv/bin/activate
(venv) jeremy@MACSTUDIO kodekloud1 %
Note
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.”
(venv) jeremy@MACSTUDIO kodekloud1 % pip install pytest psycopg2-binary
Collecting pytest
Downloading pytest-8.3.5-py3-none-any.whl
Collecting psycopg2-binary
Downloading psycopg2_binary-2.9.10-cp313-cp313-macosx_*.whl
Successfully installed pytest-8.3.5 psycopg2-binary-2.9.10
Then update your requirements.txt
:
(venv) jeremy@MACSTUDIO kodekloud1 % pip freeze > requirements.txt
5. Handling Import Errors
If you encounter:
ModuleNotFoundError: No module named 'flask_sqlalchemy'
simply instruct Cursor AI:
(venv) jeremy@MACSTUDIO kodekloud1 % pip install flask-sqlalchemy
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. |
Warning
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.
Links and References
- Visual Studio Code Integrated Terminal
- Cursor AI Extension
- Python
venv
Documentation - Flask Official Docs
- SQLAlchemy Documentation
- pytest Documentation
- psycopg2-binary on PyPI
Watch Video
Watch video content