October 2025
Intermediate to advanced
336 pages
9h 14m
English
Content preview from Coding with AI
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8 Building effective tests with generative AI
This chapter covers
- Three popular generative AI tools for Python test generation
- Using AI to create both
unittestandpytesttest suites - Setting up in-memory databases for isolated testing environments
- Crafting effective prompts to generate high-quality test code
- Evaluating the strengths and weaknesses of each AI testing approach
Software testing is vital for reliability and security, but it’s often rushed due to development pressures. Generative AI tools are changing this boring, repetitive process. They can automatically create detailed test suites, spot edge cases, and generate boilerplate code. This chapter shows how GitHub Copilot, Tabnine, and Blackbox AI can enhance your testing workflow. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.