MPY.log/entry-012: Making the Implicit, Explicit
Software systems rarely fall apart because one piece of code is wrong. They fall apart because the connections between things aren’t clear.
Different teams discuss the same concept, but have different meanings. Different systems integrate but assume too much. Different services evolve but step on each other’s toes.
Not because people are careless. But because the boundaries are invisible.
Where Complexity Hides
Ask three teams what a “customer” is:
All technically correct. All slightly different. And those differences? They quietly break APIs, reports, features, and trust.
This is what happens when bounded contexts collide without coordination.
And this is where context maps help.
What is a Context Map?
A context map is not a diagram. It’s a lens for seeing how your systems, teams, and languages interact.
Every team has its bounded context, its model, terms, and assumptions. Context maps make these explicit.
They don’t judge. They reveal.
You don’t need one perfect model. You need to understand where models differ, and design for it.
When to Use Context Maps
Use one when:
Context maps help you:
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What It Looks Like in Practice
Start simple:
Then label the relationships:
You don’t need a diagramming tool. You need honest mapping of how things actually work.
One Thought to Leave With
Most architectural pain lives in what we never bothered to say out loud.
Context maps don’t simplify the system. They surface the reality we’ve been working around.
And once you can see the shape of the problem, you can start to shape the solution.
Coming Up Next
MPY.log/entry-013: Protecting Clean Systems from Messy Ones
How to shield your system (and your sanity) when integrating with legacy or third-party models.
Have you ever sketched out how things connect and realised that’s the issue? That was a context map in disguise.
Let’s log it together.
Until next log,
—MPY