DEV Community: Musah Congo Adama

There's More to Life Than Code

Musah Congo Adama — Sun, 25 Oct 2026 03:22:10 +0000

The conversations I have with myself
I talk to myself a lot.
Not because I'm mad. Not because something is wrong with me. I talk to myself because I'm searching. There are so many questions in my head, and I keep turning them over and over, hoping that one day I'll land on the perfect answer.

Some days I feel light, like I'm being carried by something bigger than me. Some days I feel heavy and sad, and I can't fully explain why. On those days I'm reminded who I can truly lean on: my family, and the few people close enough to see me when I'm not putting on a show.
This blog is where I want to put those conversations. The ones I usually have alone.

Code, startups, a 9-to-5 and a restless mind
For years, my life has looked like this: writing code, building startups, building SaaS products, and pouring myself into my business. And alongside all of that, I've been holding down a 9-to-5.
The day job pays the bills and keeps me steady. The evenings and weekends belong to the dreams. I brainstorm, I sketch, I ship, I break things, I fix them again. Then somewhere in between, I try to save a little time for myself and for my family.

I love it. I really do. But juggling a job, a business and a life taught me something. My mind never really switches off. Even when the laptop is closed, the thinking keeps going. And the time I spend with myself and with the people I love is not a break from the real work. It is part of the real work.

And that's when I remembered a simple truth: we all still have a personal life to deal with. Behind every product is a person. Behind every line of code is someone who gets tired, who laughs, who misses people, who needs rest.

In the greens with the old lady
If I'm not coding, you'll probably find me in the greens with my hands in the soil, putting something in the ground and hoping it grows.
Usually the old lady is there too. We talk while we work. Sometimes about nothing, sometimes about everything. She has a way of saying simple things that land deep. No screens, no notifications, no rush. Just the sun, the earth, and a good conversation.

There's something about planting that humbles me. You can't force a seed to grow faster. You water it, you wait, you trust. Maybe that's the lesson I keep missing in the rest of my life.
Quiet nights and a grateful heart

Then there are the nights. Lying on my bed, staring at the ceiling, thoughts coming one after another.
That's usually where the gratitude finds me. I thank God. For the breath in my lungs, for the people around me, for the small wins and even the lessons that hurt. I pray about everything, the big things and the little things, because I've learned that nothing is too small to bring before Him.

Those quiet moments don't always give me answers. But they give me peace. And some nights, peace is enough.
Too much, or not enough?

Sometimes I wonder if I'm doing too much. Too many ideas, too many projects, too many plans.

Other times I wonder if I'm not doing enough. Am I moving fast enough?

** Am I where I should be by now?**
But here's one thing I don't do: I don't compare myself to anyone. Everyone is planting a different seed, in different soil, in a different season. Their harvest time is not my harvest time. Looking over someone else's fence won't make my garden grow any faster.
So instead of asking whether I'm ahead or behind, I try to ask a better question. Am I being faithful with what's in my hands today?

What I'm learning
• Rest is part of the work. Time with yourself and family isn't time stolen from your goals.
• Growth takes seasons. Like seeds in soil, some things can't be rushed.
• Gratitude grounds you. Prayer and thankfulness bring peace, even without answers.
• Your race is your own. Comparison only distracts you from what's in your hands.
• Lean on your people. Family and loved ones carry you on the heavy days.

**
There's more to life**
I still love building. The startups, the SaaS products, the business, even the 9-to-5 that keeps it all moving. I'll probably always be chasing the next idea. But I'm learning that life is not only in the code.

It's in the soil under my fingernails. It's in the stories the old lady tells. It's in a family that holds you when you're low. It's in a quiet prayer at night and a thank-you whispered into the dark.

I haven't found all the perfect answers yet. Maybe I never will. But I'm starting to think the searching, the talking to myself, the planting and the praying, might be part of the answer too.

There's more to life than code. And I want to live all of it.
As I write this, it's** 3:08 am**. The house is quiet and the world is asleep. I don't know what time it is where you are as you read this, or what kind of day you've had.

But I know this: sometimes you feel heavy too. Maybe you're carrying more than anyone can see. If that's you right now, I want you to hear it from someone who's still awake at this hour, sitting with a head full of thoughts.
You're not alone.

I Stopped Coding to Learn How Systems Think

Musah Congo Adama — Thu, 01 Oct 2026 21:52:00 +0000

I Stopped Coding to Learn How Systems Think. Then I Built Something.

It started with a feeling I couldn't shake.

I was deep in machine learning and helping facilitate courses, and I could explain each piece on its own: the model, the API, the database. But when someone asked me how it all worked together, I'd go quiet. I knew the characters. I didn't know the plot.

So I did something that felt almost reckless. I paused coding.

No features, no debugging marathons. I traded the keyboard for a whiteboard and, for a few quarters, chased one question: how do the pieces of a system actually talk to each other?

The Day a Short Link Taught Me Everything

My first real lesson came from something small: a URL shortener.

Picture someone tapping a short link on their phone. Their request leaves the device and meets a load balancer, which acts like a host at a busy restaurant and points it to a free server. The server first checks the cache, a small, fast memory of recent answers. Most people are clicking links rather than creating them, so most of the time the answer is already waiting, and the user is redirected in a blink.

But when the cache doesn't know, the request travels deeper to the database, finds the answer, and leaves a copy behind for whoever comes next.

That was the moment it clicked for me. Nothing in that story was about syntax. It was about who asks whom, and what happens when the answer is slow, wrong, or missing.

The guide I leaned on throughout, the System Design Handbook, describes system design as defining how individual components come together to meet a set of requirements. That's exactly what I felt happening. I was no longer memorizing parts. I was learning to read a story that had been there all along.

My Sparring Partner

I didn't use AI to hand me answers. I used it to argue with me.

I'd sketch a design on the whiteboard, describe it, and say: "Break it."

Then we'd walk through disasters together. What if the cache dies at peak traffic? What if two people write to the same record at the same instant? What if this service isn't dead, just slow?

That last question changed me. A crashed service is honest: it fails loudly and fast. A slow service is a quiet saboteur. Requests pile up, queues swell, and everything upstream starts to suffer. I only truly understood that because I could keep asking "and then what?" until the story reached its ending, and the AI never got tired of my fifth rephrasing of the same question at 11 p.m.

Every Choice Is a Fork in the Road

The deeper I went, the more I realized there are no perfect designs, only trade-offs with consequences.

SQL or NoSQL? Strict guarantees and structure, or flexible scaling.
Cache or no cache? Lightning speed, at the risk of serving slightly stale data.
Synchronous or asynchronous? Simplicity today, or resilience when traffic surges tomorrow.

The CAP theorem gave me my favorite lesson of all. When a network can fail, and eventually it will, a distributed system has to choose between being perfectly consistent and always available. A bank ledger and a social feed choose opposite answers, and both are right for their own stories.

Learning to say "it depends, and here's what it depends on" turned out to be the real skill.

Where Machine Learning Joined the Cast

Because my work lives close to ML, a new question followed me everywhere: what does a model look like as a component?

It stopped being magic. It became a service with inputs, outputs, a latency budget, and ways to fail. It needs pipelines feeding it, a layer serving it, monitoring watching it, and a fallback for the day it's wrong or unavailable. A model that dazzles in a notebook can still sink a product if the system around it is fragile.

This reshaped how I facilitate courses, too. Learners get lost when ideas are taught as separate topics. When I started saying, "Here's one request. Let's follow it through the whole system," the pieces finally connected for them. Stories stick in a way diagrams alone don't.

Then Came the Part I Didn't Expect: I Built Things

Somewhere along the way, the whiteboard stopped being enough.

The case studies I'd been studying, the URL shortener, the real-time chat, the ride-hailing dispatch, had been teaching me patterns. A cache in front of a read-heavy database. A messaging layer so nothing gets lost when someone's offline. Spatial indexing so you never have to search the whole world to find what's nearby. Those weren't just interview exercises anymore. They were blueprints.

So I started building. I now have a couple of products in hand, [Product One] and [Product Two], and each one carries the fingerprints of everything I learned during those quarters.

The funny thing is how different it felt to build this time. In the past, I'd open an editor and start typing, discovering the architecture by accident, one painful rewrite at a time. Now I begin with the story. Who are the users? What does a request look like from the first tap to the last byte? Where will it be slow? What breaks first, and how gracefully can it fail? By the time I write a line of code, the system already exists in my head, and the code is just me telling it out loud.

It wasn't perfect, and I'm sure it won't be. I still hit surprises: a bottleneck I didn't see coming, a trade-off I got wrong the first time. But the difference is that I now know how to read those surprises. They're no longer mysteries. They're the next chapter.

What I'd Tell Anyone Starting Out

Start with requirements, not boxes. Ask what the system must do and how well before drawing anything.
Follow one request end to end. If you can't narrate its journey, you don't understand the design yet.
Keep asking "and then what?" Failure is where the learning lives.
Say your trade-offs out loud. Why you chose something matters as much as what you chose.
Redesign everyday things. Chat apps, notifications, ride-hailing. Each one teaches a different lesson.
Build something. Nothing tests your understanding like real users and real traffic.
Use AI to challenge you, not replace you. The magic is in the dialogue.

And Now, the Launch

Here's the honest truth: I can't wait.

Months of sketching, arguing with an AI, redrawing the same diagram until it finally made sense, and then turning all of it into real products. Soon they'll be out in the world, and I'll finally get to watch real people interact with something I designed from the ground up.

Stepping away from code gave me something I didn't expect. I came back not just as someone who writes functions, but as someone who can see the whole system and tell its story.

So watch this space. academialync and mantroops are coming, and I'd love to see you there on launch day.

The resource that shaped much of my thinking: System Design: The Complete Guide from the System Design Handbook.