From a Small Plugin to a Real Product: What Two Months of Shipping Taught Me

Recently, I built a plugin.

It started with a very simple motivation: I had a problem, existing solutions did not quite work the way I wanted, and I thought I could build something better for myself.

I did not expect much beyond that.

Two months later, the project had gone from v0.1.0 to v0.4.5.4.

It had real users, frequent releases, compatibility problems, cloud features, account systems, localization, production incidents, and bugs that I could never reproduce on my own machine.

Looking back, the most important thing I built was not any individual feature.

It was my understanding of what it actually means to maintain a product.

It Was Never a Straight Line

Software development is often presented as a clean process:

define the problem, design the architecture, implement the solution, test it, and ship.

My experience was much messier.

I would implement something and discover that it behaved differently in a real environment.

I would fix one issue and expose another edge case.

Sometimes everything worked perfectly on my computer while a user encountered a completely different result.

Some bugs only appeared under a specific sequence of events. Others depended on timing, system state, an external component, or a particular software update.

At one point, I had to build dedicated diagnostic tools just to understand the order in which events were arriving and why something occasionally failed.

The lesson was simple:

“It works on my machine” is not evidence that the problem does not exist.

Over time, I became much more comfortable saying:

I do not know yet.

Instead of assuming a bug had been fixed, I started distinguishing between what had been reproduced, what had been verified, and what still needed testing in a real environment.

My release notes began including phrases like:

“Still requires real-world verification.”

“The root cause has not yet been confirmed.”

“This change should not be interpreted as a complete fix.”

A year ago, I might have thought language like this made a project sound less confident.

Now I think the opposite.

If people actually rely on your software, being precise about what you know is part of the job.

Some Problems Only Exist After You Ship

One release taught me this particularly well.

I accidentally published an incorrect version number.

It looked trivial — essentially just a numbering mistake.

But the update system compared versions numerically, which meant the incorrect version could appear permanently newer than future releases.

Users who installed it could become stuck on an upgrade path that would never resolve itself automatically.

The bug was not in a complicated algorithm.

It was a version number.

And yet its consequence was very real.

So I Built a Repair Tool for My Own Mistake

Instead of asking everyone to manually remove files, reset their configuration, reinstall the plugin, and hope nothing disappeared, I built a small repair utility.

It backed up the existing installation, repaired the version state, preserved user configuration, and returned the installation to the normal update path.

It was slightly absurd to build an entire recovery tool because of one incorrect release number.

But it taught me something important:

Production does not care whether a mistake was sophisticated.

Once users are affected, the interesting question is no longer “How did I make such a simple mistake?”

The useful question is:

How can I get everyone back to a working state with the least possible effort and risk?

That shift in thinking changed how I approached later releases.

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Reliability Is Mostly Built from Small Things

Over time, the plugin became much larger than the original idea.

Support expanded to larger groups and more complex runtime situations.

I added controls for deciding which entities should be processed and later introduced an automatic mode that could adapt to the user’s current context.

Different parts of the system — parsing, calculations, timers, healing data, and other observations — had to agree on the same scope.

Display logic eventually had to be separated from processing logic.

None of these changes sound particularly dramatic on their own.

Neither did fixing a timer that occasionally used local clock time when it should have used event time, causing early-session statistics to appear much higher than they really were.

Neither did fixing a window that changed size by a few pixels repeatedly.

Neither did making a corrupted login state recoverable instead of leaving users unable to sign in.

But this is what I gradually learned:

Reliable software is often the accumulation of hundreds of unremarkable fixes.