When a Bug Isn't Really a Bug: How Architectural Constraints Hide Behind Technical Problems

Kenneth Amadi (kenresoft) — Sat, 12 Sep 2026 11:24:36 +0000

Sometimes the hardest bugs aren't caused by broken code. They're caused by an architecture that no longer matches the problem.

There is a particular kind of bug that can consume far more engineering time than it should.

You fix it.

It comes back.

You fix it again.

Then something else breaks in a completely different part of the feature, and you start wondering whether the two problems are actually related.

I've learned to pay attention when that happens.

Sometimes a bug is just a bug. There is a mistake in the code, you find it, fix it, add a test, and move on.

But sometimes the bug is exposing a problem underneath the code.

The implementation may be doing exactly what it was designed to do. The problem is that the design no longer fits what the application has become.

That's when a bug stops being just a bug.

It becomes an architectural constraint.

The Trap of Fixing Symptoms

Take a text editor as an example.

Suppose the cursor occasionally jumps to the wrong position after an edit.

You investigate and find that the selection is being recalculated incorrectly. You fix it.

A few days later, applying formatting moves the cursor.

You fix that too.

Then lists start behaving strangely.

Another fix.

Then importing a document containing lists causes the editor to become unstable.

Another fix.

At some point, it is tempting to conclude that the editor simply has too many bugs.

But that may not be what is happening.

The individual failures can be symptoms of the same underlying assumption.

For example, imagine an editor whose document is fundamentally represented as one large string, with global character offsets used to represent selections and formatting:

Document
─────────────────────────────────────────────
"First paragraph\nSecond paragraph\nThird..."
─────────────────────────────────────────────
  0              15             30

For a simple editor, this is a perfectly reasonable design.

Text is text.

A selection is a pair of offsets.

An attribute applies to a range.

Insert some characters and shift the offsets after them.

Delete some characters and shift them back.

There is nothing inherently wrong with this approach.

The trouble starts when the document becomes more than a string.

Now it has paragraphs.

Headings have levels.

Lists have items and relationships.

Some formatting belongs to individual characters.

Other formatting belongs to an entire paragraph or block.

Once that happens, you're asking a flat representation to describe a structured document.

You can keep adding fixes.

But you're no longer just fixing bugs.

You're working around the limitations of the representation.

The Most Dangerous Bugs Are Sometimes Predictable

One thing I've become more careful about is assuming that unexpected behavior means the code is behaving unexpectedly.

Sometimes the behavior is actually predictable.

It is just the predictable consequence of an assumption that no longer holds.

Consider a simple cache.

Early in an application's life, you might have:

API
 ↓
Repository
 ↓
Cache

The repository fetches data, puts it in the cache, and returns it when needed.

Simple.

Then the application grows.

Now you need background refreshes, stale data handling, retries, offline behavior, concurrent requests, cache invalidation, and partial updates.

The original cache wasn't necessarily badly designed.

It was designed for a smaller problem.

The problem changed.

The architecture didn't.

This happens everywhere in software.

A state class that worked nicely for three screens can become difficult to reason about when twenty screens depend on it.

A navigation approach that worked for a small application can become awkward once deep links, authentication, nested navigation, and state restoration enter the picture.

A simple data model can become painful once the application needs relationships, partial updates, synchronization, and more complex queries.

A text buffer that works beautifully for plain text can become difficult to extend when the editor needs to understand document structure.

The original decision wasn't necessarily wrong.

The context changed.

Why We Keep Fixing the Wrong Thing

There is a practical reason this happens.

A bug report usually gives you something concrete:

"The cursor jumps after formatting."

You can reproduce it.

You can put a breakpoint somewhere.

You can change a function.

You can run the test again.

Architecture is less satisfying.

Architecture asks questions like:

Why does formatting need to manipulate the same coordinate system used by text insertion?

Why does this component need to know about that component?

Why is this state represented this way?

Why does a paragraph-level concept live inside a character-range system?

Those questions don't immediately produce a patch.

They produce investigation.

And when there is a ticket waiting to be closed, the patch is usually more attractive.

That's one of the ways technical debt accumulates.

Not because engineers don't care about architecture.

Because local fixes give you an immediate result, while architectural problems require you to step back and reconsider the problem.

A Useful Question: "What Must Be True for This Bug to Exist?"

One question I've found useful when debugging stubborn problems is:

What must be true about the architecture for this bug to be possible?

Take the cursor example.

Instead of asking only:

"Why is the cursor jumping?"

ask:

"Why is the cursor position so dependent on these transformations in the first place?"

That changes the investigation.

You stop looking only at the incorrect value and start looking at the system producing it.

Here's another example.

Suppose deleting a list item occasionally causes formatting from the following item to move into the previous one.

The obvious place to look is the deletion algorithm.

But another useful question is:

"Why does deleting one item require us to repair formatting ranges somewhere else?"

That might reveal something deeper.

Maybe the document model doesn't actually understand paragraphs.

Maybe lists are being represented indirectly through character attributes.

Maybe a global range-based representation is being asked to represent relationships it wasn't designed to represent.

Now the problem isn't necessarily the deletion function.

The problem may be the model underneath it.

Architecture Is About What the System Understands

This is probably the most important distinction I've learned.

Architecture isn't just folders.

It isn't whether a project has:

data/
domain/
presentation/

It isn't whether you use BLoC, Riverpod, Provider, Clean Architecture, MVVM, or another pattern.

Those choices can be useful.

But architecture is ultimately about what concepts the system understands and how those concepts are represented.

A document editor that understands only:

characters
offsets
ranges

has a very different model from one that understands:

document
paragraph
list
list item
inline formatting
selection

The second system isn't automatically better because it has more classes.

It is better only if those concepts actually exist in the problem you're solving.

The goal isn't to create more abstractions.

The goal is to make the important concepts explicit.

But This Doesn't Mean "Rewrite Everything"

This is where architecture discussions can become dangerous.

Once you discover that a model has become a constraint, it is tempting to throw everything away.

I've had that instinct myself.

You find the underlying problem and suddenly the existing architecture looks terrible.

But a rewrite isn't automatically the right answer.

Existing code contains knowledge.

It contains behavior that users already depend on.

It contains edge cases that may not be obvious from reading the code.

And sometimes the majority of the architecture is still perfectly fine.

The better question is:

What is the smallest architectural change that allows the system to represent the problem correctly?

That might mean introducing a proper paragraph index.

It might mean separating character-level attributes from paragraph-level attributes.

It might mean introducing a block abstraction without replacing the entire text engine.

It might mean introducing a new representation alongside the old one and migrating gradually.

Architecture doesn't have to be a choice between:

keep everything

and:

rewrite everything

There is usually another option:

change the boundary where the existing model stops being appropriate

That is often a much more manageable engineering problem.

The Architecture Should Follow the Problem

One mistake we can make as developers is treating architecture as permanent.

We design something and unconsciously expect it to remain valid forever.

But applications change.

Requirements change.

Users find workflows we didn't anticipate.

Features interact in ways we didn't plan for.

Data grows.

Performance requirements change.

A model that was appropriate at version 1.0 may not be appropriate at version 3.0.

That doesn't mean version 1.0 was badly engineered.

It means the software has taught us something about the problem that we didn't know when we designed it.

I think that's a healthier way to look at architecture.

Architecture is a hypothesis about the problem.

As we learn more about the problem, we should be willing to revise that hypothesis.

How I Approach Persistent Bugs Now

When I encounter a bug that keeps returning in different forms, I try not to immediately add another patch.

I look for patterns first.

1. Is the same subsystem repeatedly involved?

If several apparently unrelated bugs keep passing through the same component, that's worth investigating.

It doesn't prove that the architecture is wrong.

But it is a signal.

2. Are we constantly repairing state after operations?

If every operation looks something like this:

perform operation
→ repair state
→ recalculate offsets
→ restore selection
→ synchronize another structure

I start asking why.

Sometimes that complexity is necessary.

Sometimes it is evidence that two structures that should understand each other don't.

3. Does a simple operation require knowledge of too many things?

A useful question is:

"Why does this operation need to know all of this?"

If changing one paragraph requires knowledge of formatting, selection, rendering, history, list state, and unrelated document ranges, the problem may be larger than the function being changed.

4. Are fixes creating more fixes?

This is probably the strongest warning sign.

If fixing A creates a problem with B, and fixing B creates a problem with C, you may not have three independent bugs.

You may have one architectural tension showing up in three places.

5. Can the current representation express the concept naturally?

This is the question I find myself asking most often.

If the answer is:

"Not really, but we can work around it."

I pay attention.

A workaround isn't automatically bad. Good software is full of pragmatic compromises.

But when workarounds keep accumulating around the same missing concept, the debt is becoming visible.

Sometimes the Bug Is Telling You Something

This is the perspective I wish I'd adopted earlier.

A difficult bug isn't always an enemy.

Sometimes it is feedback.

It is telling you that the system's mental model of the problem may no longer be accurate.

That doesn't mean you should immediately redesign the system.

It means you should listen before you patch.

There is a big difference between:

"How do I stop this bug?"

and:

"Why does this system make this class of bug possible?"

The first question helps you close a ticket.

The second can help you improve the software.

The Goal Isn't Perfect Architecture

I'm not convinced that perfect architecture exists.

Every architecture makes trade-offs.

Every abstraction has costs.

Every representation makes some operations easier and others harder.

The goal isn't to design a system that never needs to change.

The goal is to recognize when the assumptions behind the system have stopped matching reality.

When that happens, the right response isn't always a rewrite.

It might be a small refactor.

It might be a new abstraction.

It might be a new boundary.

It might be replacing one component.

Or, sometimes, it might actually be time for a larger architectural change.

The important part is knowing why you're making the change.

A Real Example From My Own Work

These aren't just theoretical questions for me.

I've been working through many of these architectural questions while building a lightweight rich-text editor for Flutter.

As the editor has grown beyond basic text editing, problems around document structure, paragraphs, formatting, lists, and selections have made one thing increasingly clear: some problems are easier to solve when the underlying model actually understands the concepts the editor is working with.

The editor is already public on GitHub, and the current version is stable and working. It hasn't been published as a package yet, but I'm continuing to work toward a proper release.

I'm also using the editor as the foundation for a note-taking application. That gives the architecture another important test: it isn't enough for the editor to work in isolation; it needs to hold up when used as part of a real application with its own requirements.

View the rich-text editor on GitHub

A Bug Report Can Be an Architectural Report

These days, when I see a bug that keeps resurfacing, I try to treat it as more than a defect.

I ask:

What assumption is this bug exposing?

Sometimes the answer is nothing interesting.

It's just a bug.

Fix it and move on.

But sometimes the answer reveals something much more valuable:

The system is trying to represent a concept it doesn't really understand.

And when that happens, no amount of clever patching will make the underlying problem disappear permanently.

You can keep repairing the symptoms.

Or you can change the part of the architecture that makes those symptoms inevitable.

That's the point where debugging becomes engineering.

About the author

I'm a mobile engineer focused on building production software and exploring the architectural problems that emerge as applications grow beyond their original assumptions.

I share more of my engineering work and projects here at Kenresoft.

DEV Community: Kenneth Amadi (kenresoft)