🐛 The Bug That Knew When I Was Watching

Ramyashree Balasubramanian — Thu, 30 Jul 2026 08:44:48 +0000

The strangest bug I’ve ever faced had one really annoying habit:
It disappeared whenever I tried to prove it was there.
I was working on an AI powered Email Generator using React and Flask. Everything worked perfectly on my laptop. Enter the details, click Generate, and the email appeared almost instantly.

I tested it again.
And again.
Nothing.😿

No errors. No weird behaviour. Everything looked fine.
So I deployed it.🙂‍↔️

And that’s when things got interesting.

The first request worked perfectly.
The second one failed.
I refreshed the page.
Worked again.😃

I used the exact same input.
Failed.😑

Changed the input?🫣
Worked.

At this point, I started blaming everything I could think of.

Maybe the AI API was unstable.🤔
Checked it.
Perfect.

Maybe the network.🤔
Perfect.

CORS?🤔
Perfect.

Frontend?
Also perfect.🤷🏼‍♀️

Everything looked innocent.👀
Except my application 😂

So I added logs everywhere, hoping I could finally catch the bug in the act.

Instead, something even more frustrating happened.
The bug almost stopped appearing.🥱

The more carefully I watched it, the harder it became to reproduce.

It honestly felt like the bug knew I was debugging it. 😭

So I stopped asking:

“Why is this request failing?”

And started asking:

“What is different between the request that worked and the one that didn't?”

That changed the investigation.😮‍💨

I compared the requests carefully.

Same endpoint.
Same API.
Same frontend.
Same input structure.

But then I noticed something tiny.🫨

The backend wasn't completely forgetting the previous request.
It was remembering it.

A piece of request-related state was accidentally being reused between requests.
So the application wasn't actually failing randomly.😵‍💫

It was doing exactly what I had told it to do.
Just not what I thought I had told it to do.

That was the real problem.🤖

I isolated the request data, removed the unnecessary shared state, added proper validation and error handling, and ran the test that had been driving me crazy.

One request.
Two.
Ten.
Twenty.
Nothing broke.
The bug was gone.👻

But honestly, fixing it wasn't the biggest lesson.

The bigger lesson was realizing how much time I had spent trying to prove my assumptions instead of questioning them.

I blamed the AI because it was an AI project.
I blamed the network because the problem appeared after deployment.
I blamed the frontend because that's where the user saw the failure.🤞🏻

Meanwhile, the actual culprit had been sitting quietly in the backend the whole time.
That experience changed the way I debug.
Sometimes a bug doesn't need to be complicated to fool you.
It just needs to make you look in the wrong direction.
And maybe the most dangerous bugs aren't the ones that crash your application.👽

They're the ones that work just often enough to convince you everything is fine. 🐛

DEV Community: Ramyashree Balasubramanian

🐛 The Bug That Knew When I Was Watching