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Generative AI for Software Development
book

Generative AI for Software Development

by Sergio Pereira
July 2025
Intermediate to advanced
170 pages
4h 13m
English
O'Reilly Media, Inc.
Content preview from Generative AI for Software Development

Chapter 3. Bug Detection and Code Review

Imagine paying the highest salaries in a company to software engineers to develop a product that will be responsible for the company’s revenue, only to lose that revenue due to costly bugs in production. This is any business owner’s worst nightmare, and sadly it happens every day. Software has automated whole industries, replacing lengthy manual processes and creating new ways to do previously impossible things. However, automation can’t be effective when bugs detract from the underlying products’ key functionalities.

To mitigate this fundamental concern, several job titles have been created over the years to guarantee proper quality assurance (QA), such as QA engineer, QA analyst, and test engineer. Processes, too, have been developed to detect bugs before they get deployed to production. Those processes boil down to two main categories:

Code reviews

This process is done during development, and it consists of team members reviewing each other’s code before it is deemed ready to go live. Some teams mandate a minimum number of team members who must review and approve a pull request (PR) before it can be merged.

Quality assurance

This process is done after development as the last “gatekeeper” before code gets pushed to production. It consists of manual or automated tests done in an environment that closely matches production. These tests aim to mimic users’ behavior to catch any bug that could have escaped a code review.

When either ...

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Publisher Resources

ISBN: 9781098162269Errata Page