Summary

In this chapter, we covered how AI-powered code assistants can help Python and Java developers generate application code from the local IDE of their choice. To illustrate the functionality, we addressed the simple yet versatile application of weather data analysis.

Here are the key features covered throughout the application’s development.

We walked through the prerequisites of generating the API key for OpenWeatherMap, allowing us to obtain weather data for a user-entered country and city combination. We used the API key to retrieve the weather data provided by OpenWeatherMap, which offers a rich set of APIs. We gathered forecast weather data from http://api.openweathermap.org/data/2.5/forecast.

For coding, we used VS Code IDE for Java, which has been set up to work with Amazon Q Developer. For Python, we utilized JetBrains’ PyCharm IDE, which was also configured to work with Amazon Q Developer.

To get the code recommendations, we employed a combination...