Code Is Cheap. Software Isn’t.

AI can now write code faster than most developers can review it. That sounds like progress. In many teams, it isn’t.

In real Java systems, the problem was never writing code. The problem was always understanding what the system should do, how it behaves under pressure, and what breaks when things change. AI didn’t solve that. It made it easier to ignore.

Let’s focus on what actually works when you bring AI into large, long-lived codebases. You will see how to use tools like IBM Bob without losing control of your system: define intent before implementation, constrain changes, keep work small, and treat generated code like a pull request from a teammate you don’t fully trust yet.

Because here is the reality. Code is cheap now. Software is not. The cost of mistakes, maintenance, and complexity is exactly where it has always been. You just get there a lot faster now.

If you build Java systems and care about reliability, clarity, and long-term maintainability, I will show you how to use AI as a helpful tool instead of a liability.