Why We're Using AI in Software Development

AI is becoming difficult to ignore in software development.

Over the last year, the tools have moved quickly from interesting experiments to something we can actually use in everyday work.

We're using AI to help write code, generate tests, review changes, work through documentation and understand unfamiliar parts of larger codebases. It doesn't replace the decisions developers make, but it can remove a surprising amount of repetitive work around them.

What interests us most isn't how much code AI can generate.

It's whether it can help us build better software faster.

A developer still needs to understand the architecture, make the right technical decisions and know when generated code doesn't belong in the system. AI doesn't remove that responsibility.

If anything, it makes good engineering practices more important.

For us, the useful model is simple:

AI assists. Engineers decide.

We're still learning where these tools work well and where they don't. But they're already changing parts of our development process, and we expect that to continue.

The interesting question for us now isn't whether we'll use AI.

It's how far we can integrate it into real development work without giving up quality, maintainability or control.