The biggest cost of a production bug isn't the bug itself. It's the time until someone understands it.

A production issue can start costing users the second it's introduced.

The frustrating part is that fixing it is often the easy part.

The real time sink is figuring out what actually happened.

An engineer opens dashboards, digs through logs, compares recent deployments, tries to reproduce the issue, checks stack traces, and slowly narrows down the root cause.

Meanwhile, users are still hitting the same bug.

Some leave quietly.

Some never come back.

Every extra minute spent investigating is another minute the problem stays live.

It feels strange that we've made huge advances in AI-assisted development, yet one of the most expensive parts of software engineering is still the investigation phase after something breaks.