Summary

This chapter described the creation and deployment of an AI-powered SaaS application, Code Bug Fixer, which uses OpenAI’s GPT-3.5 language model to provide code error explanations and fixes to users. It covered building the application using Flask, creating a web form that accepts user input for code and error messages, and designing a web interface to display the generated explanations and solutions. The chapter also provided instructions on how to test and deploy the application to the Azure cloud platform, offering security and scalability features to the application.

Furthermore, you learned how to create a user interface for Code Bug Fixer using HTML and CSS, adding a basic HTML structure, a header, an input form, and two columns containing text areas for the user to enter their code and error message. The testing process involved running test cases for the application in two different programming languages, Python and Java. By following the given steps, users...