Build a Python Flask API with AI Code Generation

1. 1
   Scaffold the Basic API

   Start by providing a clear, high-level prompt to the Code Generation skill. Ask for a simple Flask API with one endpoint. This initial prompt establishes the core structure, saving you from writing boilerplate code.
2. 2
   Review and Run the Generated Code

   AI-generated code is a starting point. Review the Python script for correctness, install dependencies (Flask), and run the server to verify it works as expected. This ensures your foundation is solid before building on it.
3. 3
   Test the Live Endpoint

   With the server running, open a new terminal window and use a tool like `curl` to send a request to your API's endpoint. Verify that you receive the expected JSON response.
4. 4
   Extend the API with a New Endpoint

   Use Code Generation for iterative development. Prompt it to add a new endpoint that accepts a dynamic parameter. This is a common task that demonstrates how the AI can help you add features quickly.
5. 5
   Integrate and Test the New Feature

   Integrate the newly generated code snippet into your `app.py` file. Rerun the server and test the new endpoint with a sample name to confirm it works as intended.

# 1. Save this code as app.py
from flask import Flask, jsonify

app = Flask(__name__)

# Endpoint 1: Hello World
@app.route('/')
def hello_world():
    return jsonify(message='Hello, World!')

# Endpoint 2: Personalized Greeting
@app.route('/greet/<name>')
def greet_name(name):
    return jsonify(message=f'Hello, {name}!')

if __name__ == '__main__':
    app.run(debug=True, port=5000)

# 2. Install dependencies
# pip install Flask

# 3. Run the server from your terminal
# python app.py

# 4. In a separate terminal, test the endpoints
# curl http://127.0.0.1:5000/
# curl http://127.0.0.1:5000/greet/World