The AI-Enabled SDLC

Chapter 3. Planning with AI

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 3rd chapter of the final book.

If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material within this chapter, please reach out to the editor at [e-mail].

When you think of the planning phase of the SDLC, you probably first picture a group of developers and product managers sifting through a stack of requirements. They choose the features or fixes the team will work on and estimate the workload. Then, implementation tasks are assigned. Depending on the methodology used, the planning stage may “end” there. In Agile and similar disciplines, this process can be repeated many times across iterations for software development.

At this point, actual code is usually not being written; it is only referenced indirectly in the discussions of developers and product managers for comparison to the new requirements. So, the SDAs’ value in this phase may not be obvious.

However, GenAI (provided through the functionality of SDAs) gives you new capabilities and opportunities for evolving the planning process. In this chapter, we highlight ways you can use SDAs to augment and evolve your planning. For the sake of brevity, we don’t outline ...