AI-Driven API Design

Appendix A. Using the Interactive Coaches

A Note for Early Release Readers

With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.

This will be the Appendix of the final book. Please note that the GitHub repo will be made active later on.

If you’d like to be actively involved in reviewing and commenting on this draft, please reach out to the editor at [e-mail].

A series of LLMs-powered “coaches” were built for this book; one for each chapter. These coaches are tehre to reinforce material covered in the chapter and to create an interacrive learning experience for the reader. While there is no new content introduced in the coaches, the chance to have a one-on-one interaction offers the reader an opportunity to explore the topic, dig into details, and find a personal path through the content of the book.

Tip

Doing the coaching exercises at the end of each chapter are not required, but highly recommended.

Loading a Coach into your Chatbot

The coaches are implemented as markdown documents that are parseable by most LLM-powered chatbots. All you need to do is to find the coaching file you are interested in and then load that file content into your local chatbot interface. Once loaded, you can tuype the start command:

Using the uploaded markdown context document, let's start our coaching session

This should fire up ...