Why are there so many bugs?

Some products reach a point where the bugs never seem to end. You fix one, another appears; the team is careful and competent, and still the backlog of "something is broken" never empties. The natural conclusion is that the team needs to be more careful, or the testing needs to be stricter. Usually neither is the real answer.

When bugs keep coming no matter how fast you fix them, the bugs are rarely the problem. They are a symptom. A recurring class of bug is a system telling you, over and over, where a responsibility has no clear home. Fixing the individual bugs faster does not change what the system is saying; it just keeps you busy while it says it.

Here are the five places recurring bugs usually come from. None is a careless developer. All are structural — which is why they respond to structure, not to effort.

1. The same rule lives in more than one place

A business rule — who gets the discount, when an order can be cancelled, what counts as active — ends up encoded in the frontend, the backend, and a database script, because each was written when the rule was needed there. They agree at first. Then one is updated and the others are not, and now the product does two different things depending on which path you came through. This is the most common source and the most expensive, because the bug appears far from the edit that caused it.

2. No single source of truth for a piece of data

Two tables, or two services, both believe they own the same fact — a balance, a status, a count. Code reads whichever is nearest. They drift, and the bug is a number that is correct on one screen and wrong on another, with no obvious reason, because both are "right" according to where they read from.

3. A field means different things in different places

The same column or property carries one meaning in one feature and a slightly different one in another. A developer writes correct code against the meaning they know, and it is wrong against the meaning someone else assumed. Nothing looks broken in review. The bug is a quiet disagreement about what a word means.

4. Failures disappear instead of surfacing

Something fails — a job, an integration, a write — and the failure goes into a log nobody reads, or is swallowed entirely. The system keeps rendering as if nothing happened. The bug is not the failure; it is that the failure was invisible until a customer found it, by which time the cause is buried under a week of other activity.

5. A change was made with no decided home

A feature was added under pressure without anyone deciding where future changes to it should live. It worked. The next change to it had nowhere obvious to go, so it went somewhere convenient, and the one after that somewhere else. The bug is the accumulated result of decisions that were never actually made — placement by accident.

What this changes about fixing them

Read this way, the move is different. You still fix the bug in front of you. But you also ask which of the five it is — and then you change the condition, not just the instance: the rule gets one home, the data gets one owner, the field gets one meaning, the failure gets a surface, the feature gets a place for its next change to go. That is more work than a quick patch, once. It is far less work than patching the same class of bug for the next two years.

The honest limit: not every bug is one of these five. Some are genuine one-off mistakes, and the right response is just to fix them and move on. The signal that you are looking at structure rather than bad luck is recurrence — the same shape of bug returning in different clothes, no matter how careful the team is.

Why this is the offer

Reducing the bug-producing structure of a system, one class at a time, is most of what I do when I own a system. It is the difference between a developer measured by tickets closed and one measured by whether the system produces fewer tickets over time. The deeper version of this — why "busy fixing bugs" can disguise a product getting harder to change — is in false efficiency in software; where these rules tend to hide in an older codebase is in where business rules hide.