Where to Use AI FOR Development: A Practical Guide for Engineers and Managers

Fri, 26 Sep 2025 07:00:01 +0000

There’s a lot of noise out there about AI generating code for you, creating tests, filing bugs, and possibly even conducting your sprint planning meetings. It’s easy to get swept up in the hype. You’ve probably seen claims like “AI can build your app from a prompt” or “Ship twice as fast with half the team”. Sounds appealing doesn’t it? The reality, as always, is more nuanced.

In this article, I want to puncture some of the more inflated expectations and instead offer a grounded view of where AI can help in software development today. What works, what doesn’t, and what might be worth trying if you squint hard enough. The lens I want to use is risk. Because fundamentally, that’s what software development is: a careful game of managing risk against code.

Risk on JAVAPRO International

Where to Use AI FOR Development: A Practical Guide for Engineers and Managers