Good software is more than code. It is good decisions.
Before we write code, we try to understand the problem. Then we build, review, test, ship and stay close to what happens next.
We try to understand the problem before touching the code.
In a real product, the hard part is often finding the right place to make the change and understanding the current system.
We make the engineering decision before asking a tool to implement it.
That keeps people responsible for the result.
Review is part of the work.
We ask whether the change fits the product and handles the edge cases.
We want evidence before we trust a change.
Tests give us a better reason to believe that a change works.
Production is part of the job.
The work is not finished when the pull request is merged.
AI helps with the work. People make the decisions.
That is the balance we try to keep every day.
We use AI every day.
We are not an AI company. We are a software engineering company that has built useful AI into the way we work.
We do not start with AI.
During training, engineers first build fundamentals and muscle memory. Once they understand how software works, AI becomes an accelerator.
Technology will keep changing. Good engineering still matters.
The tools will change. The ability to understand a problem, debug it and make a good decision will continue to matter.