Chapter 3. Planning with AI
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 value of the SDAs 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 every use case particular to a given planning methodology (e.g., Agile vs. Waterfall). Instead, we focus on the tangible value-adds you can get regardless of your SDLC methodology.
We survey the benefits that are realized from:
- Connecting your codebase to the SDA
- Quick prototyping with the SDA
- Estimating effort based on SDA capabilities
- Leveraging SDAs for jumpstarting documentation and testing
- Better preparing for migration/updates
- Leveraging the AI for explanations and reviews ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access