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The AI-Enabled SDLC
book

The AI-Enabled SDLC

by Brent Laster, Eran Yahav
May 2025
Intermediate to advanced
118 pages
2h 34m
English
O'Reilly Media, Inc.
Content preview from The AI-Enabled SDLC

Chapter 5. Increasing Test Coverage Through AI Generation

Our previous chapter focused on how to use the SDA for one of the main tasks that engineers do during the SDLC: developing code. As emphasized in the other chapters, code developed with the help of an SDA still needs to have all of the same kinds of validation done on it as any other code. After initial review and approval by the SDA user, the code needs to undergo thorough testing. Unfortunately, creating test cases is not always as straightforward, or as prioritized, as it should be.

In this chapter, we look at how to use the SDA to help with testing your code, ensuring good test coverage, and simplifying and automating best practices.

GenAI and testing

Per the nature of GenAI, nothing is guaranteed to be exactly like you want. So, as with the code suggestions and chat answers, it is important to review the suggested tests, ensuring they are valid and a good fit. If they are not, edit them or refactor your prompt and iterate.

Testing Context

A key area where an SDA can help engineers is in learning a skill, language, or framework that is new to them. This applies whether you are creating content for the project or doing maintenance on it. The AI can be used to fill in gaps in knowledge and bootstrap functionality. This holds true for testing as well as any other coding. For example, if you are not familiar with how to do unit testing in the context of what you’re working on, you can ask the AI.

Suppose you are tasked ...

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Publisher Resources

ISBN: 9781098176129Errata Page