A while ago, I joined a new IT company.
Technically, it wasn’t too difficult to adapt. It was still backend, frontend, databases, APIs — things I was already familiar with.
But there was one thing that genuinely surprised me:
the coding culture was completely different from the company I worked at before.
At my previous company, coding standards were taken very seriously.
Folder structures were clean.
Naming conventions were consistent.
Old comments were removed.
Even small details during code review mattered.
I got used to working in an environment where “clean code” was a big deal.
Then I joined the new company.
And suddenly I started seeing:
- old commented-out code everywhere,
- functions that were hundreds of lines long,
- mixed business logic,
- inconsistent naming,
- and pieces of legacy code that looked like they had survived for years untouched.
Honestly, at first, it stressed me out a little.
My immediate reaction was:
“Why doesn’t anyone clean this up?”
But after spending more time there, I slowly realized something important:
Real-world software development is much messier than the clean coding principles we often see online.
Every Company Has Its Own Way of Surviving
At my previous company, workloads were more manageable.
There was time for refactoring, architecture discussions, and improving code quality.
At the new company, things moved much faster.
Most of the time, the priorities were:
- shipping features quickly,
- fixing urgent bugs,
- responding to client requests,
- and keeping the system running.
That doesn’t mean the developers there were bad.
In fact, many of them were highly capable.
But their priorities were different.
And honestly, that makes sense.
Because in the real world, developers are not just writing code in isolation. There are deadlines, business pressure, clients, unexpected changes, and production issues happening all the time.
Sometimes idealism has to meet reality.
I Realized I Was Carrying Technical Ego Too
When I first joined, I felt like many things were “wrong.”
I wanted to:
- reorganize folders,
- remove old comments,
- split large functions,
- enforce consistent naming,
- and refactor a lot of things immediately.
But then I realized something:
Joining a new team and instantly saying:
“Your codebase is messy”
isn’t a great way to build trust.
Every codebase has its own history.
Some strange-looking code exists because:
- someone was rushing to meet a deadline,
- a hotfix was needed,
- client requirements suddenly changed,
- or multiple developers made compromises over time.
Sometimes we only see the final result without understanding the story behind it.
Clean Code Matters — But It’s Not Always the Top Priority
This was probably the biggest lesson for me.
I used to think:
good code = perfectly clean code.
Now I see it differently.
Sometimes “good code” simply means:
- the team can still understand it,
- bugs can still be fixed,
- and the business can continue operating without major problems.
Is it ideal? Maybe not.
Is it realistic? Very often, yes.
So I Started Adapting Slowly
Now, instead of trying to “fix everything,” I take a smaller approach.
Whenever I touch a file, I try to:
- clean up a little,
- remove truly unnecessary comments,
- improve naming where it helps,
- or simplify logic if it becomes too difficult to read.
Small improvements over time.
Because changing engineering culture doesn’t happen overnight.
And honestly, I’ve started realizing that being a professional developer is not only about writing beautiful architecture.
It’s also about:
- working with different kinds of teams,
- understanding business realities,
- and knowing when to be idealistic and when to be pragmatic.
- Final Thoughts
If you recently joined a new company and felt shocked by the codebase or coding culture, you’re not alone.
I’ve been there too.
Sometimes we come in expecting:
“Every company follows best practices.”
But reality is different.
Every company has different pressures, priorities, and trade-offs.
And maybe one of the hardest parts of being a software developer isn’t learning a new framework.
Maybe it’s learning that not every codebase will match your ideal version of software engineering.
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