I understood 2% of that conversation-handling imposter syndrome when tech wont stop sprinting.

Ryan Kelly — Sat, 23 May 2026 19:44:49 +0000

Feeling Like an Imposter in Tech: Standing in Rooms Where Everyone Sounds Smarter Than You

Or at least, smarter than you think you are.

Tags: #beginners #career #webdev #ai

There is a distinct feeling that comes with being a beginner in tech, and it usually starts quietly.

You walk into a room of developers, engineers, founders, or students who somehow already sound like seasoned professionals. Maybe it’s a tech meetup, a conference, a workshop, or a hackathon. Everyone seems to be speaking a language you should understand, but somehow don’t.

Someone says:

“We’re experimenting with multi-agent workflows and coding agents.”

Another person jumps in:

“Yeah, context windows still become a major bottleneck for large codebases.”

Someone else nods:

“The future is really about prompt engineering methods and orchestrations.”

And there you are. Smiling. Nodding. Quietly wondering: What on earth is happening?

This doesn't happen because you are lazy or incapable. It happens because somewhere between trying to master variables, APIs, Git conflicts, basic debugging, and just understanding how software works, the world suddenly moved into conversations about AI agents building systems autonomously. You are still trying to remember how to structure a clean, reusable function, and the room is already lightyears ahead.

If you have felt that exact tension, this article is for you.
The Silent Anxiety of Being "The Beginner in the Room"

As a student in tech, ambition can feel heavy. You have big dreams. You imagine building products, contributing to open source, becoming a great engineer, and maybe even launching something meaningful of your own.

Then you enter a room where professionals are discussing things that sound impossibly advanced, and suddenly, that ambition turns into comparison. You start asking yourself:

Will I ever get there?

Am I too late to the game?

How are people already talking about things I barely comprehend?

What if AI replaces the very skills I am burning midnight oil to learn?

Nobody says it out loud, but so many beginners experience this quiet panic. Especially now. Tech no longer feels like it is moving fast—it feels like it is sprinting. Yesterday you were learning HTML. Today people are debating AI copilots. Tomorrow someone writes an article claiming junior engineers may disappear entirely.

Your brain starts buffering like slow internet:
Plaintext

Loading confidence...
Error: self_doubt detected.

It’s funny, but it's painfully real.
The Conference Effect: Intellectually Underdressed

One thing I noticed after attending a few tech spaces is that people sound extremely confident. Sometimes, intimidatingly so. You hear a barrage of terms thrown around casually:

Multi-agent systems & LLM orchestration

Vector databases & CI/CD pipelines

Agentic engineering & Distributed systems

Context engineering

If you are still figuring out loops, state management, basic Git, or data structures, you begin feeling intellectually underdressed. You stop asking questions because you don't want to sound inexperienced. Instead, you become excellent at pretending. You nod. You laugh when everyone else laughs. You say things like, "Yeah, exactly," when internally you are thinking: I understood maybe 2% of that sentence.

The strange part? Many people in those rooms are confused too. They are just confused at different levels.

Tech has always worked like this. Someone always feels behind. Someone else feels overwhelmed. Someone else is pretending to understand Kubernetes. We are all somewhere on the ladder. The only difference is that experience changes what feels confusing, not the presence of confusion itself.
The Beginner Trap: Demanding Instant Mastery

One of the most important lessons I am learning is this: You are not supposed to understand everything immediately.

Seriously, think about how absurd the expectation is. You just started coding, and yet emotionally, you expect yourself to instantly grasp distributed systems, AI infrastructure, large-scale architecture, and production environments.

We treat our confusion like failure. But confusion isn't failure; it is usually the exact evidence that growth is happening. The moment you enter rooms where the conversations challenge you, you are no longer trapped inside the safety of what you already know. You are expanding—uncomfortably, slowly, but surely.
How AI Made the Imposter Feeling Worse

Let’s be honest: AI has completely shifted the experience of learning tech. Before, beginners worried about how to learn. Now, beginners worry about learning something that might become completely obsolete tomorrow.

You hear the doom-scrolling headlines every day: "AI writes code now." "Developers are turning into prompt engineers." "Agents can already build full apps."

Fear starts creeping in, and you begin asking: What exactly am I even learning this for?

But here is a perspective shift that really helped me: AI accelerates work, but it does not automatically replace understanding.

Consider this scenario: You ask an AI to solve a hard problem. The code looks great—until it breaks. Security issues pop up, project requirements change, weird edge cases emerge, or the performance becomes terrible. Suddenly, the generated code makes zero sense, and your AI assistant starts hallucinating.

This is exactly when deep, fundamental understanding matters. Software engineering is not just about raw code generation. It is about problem-solving, communication, understanding trade-offs, system architecture, debugging, and human judgment.

AI may help you move faster, but it does not magically grant you experience. You still need to learn the fundamentals.
The Hidden Truth About "Pros"

Here is something I wish beginners heard more often: Professionals also Google things constantly. Professionals also feel completely lost. Professionals also sit through tech talks thinking, I have absolutely no idea what this speaker is talking about.

The only difference between a senior engineer and a beginner is that the senior engineer became comfortable with not knowing.

That is the real skill in tech. It isn't total confidence; it’s comfort with uncertainty. Tech changes too fast for anyone to know everything. The people who survive are not the ones who hold all the answers—they are the ones who are willing to keep learning. Again. And again. And again.
What Is Helping Me Stop Feeling Like an Imposter

If you are struggling with this right now, here are four practical mindsets to anchor yourself:

Stop measuring your Chapter 1 against someone else's Chapter 20.

A senior engineer talking about complex codebases has already struggled through thousands of bugs, missed deadlines, terrible documentation, failed deployments, and years of deep confusion. You are seeing their experience compressed into confidence. It’s time, not magic.

Ask the "dumb" question.

One underrated realization I've had is that a confusing room instantly becomes clearer the moment one brave person speaks up and says, "Sorry, what exactly does that acronym mean?" You would be shocked by how many people in that room will silently sigh with relief because they wanted to ask the exact same thing.

Double down on the fundamentals anyway.

Yes, AI is evolving and things are moving fast. But fundamentals still compound. Variables, data structures, functions, algorithmic logic, network basics, and reading code—these things do not change. You grow in tech by learning the basics consistently, not by panicking over the latest framework trend.

Accept the awkwardness of growth.

Sometimes progress feels like awkwardness. Sometimes learning sounds like: "I have no idea what they mean right now, but I’ll figure it out later." That is not failure. That is active participation.

Maybe You Are Not an Imposter

Maybe you aren't a fraud at all. Maybe you are just early.

Maybe you are currently standing in rooms that your future self will feel completely comfortable managing. Today you understand 20%. Next year you'll understand 40%. Then, one day, someone sits down beside you at a meetup, hears a speaker, and whispers to you, "Hey, what are they talking about?"

And suddenly, you will be the one explaining it to them. Not because you became an overnight genius, but because you stayed. Because you kept showing up. Because confusion stopped scaring you.

Maybe that is what growth in tech really looks like. Not absolute certainty, but pure, stubborn persistence.

I'd love to hear from you: Have you ever walked into a tech space and felt completely lost? How are you balancing learning the fundamentals while trying to keep up with the breakneck speed of AI culture? Let’s talk about it in the comments below!

Learning Go Over Past Few Months

Ryan Kelly — Fri, 27 Mar 2026 10:35:11 +0000

From Hype to Harmony: Learning Go Over Past Few Months
Whenever someone would mention Go to me, I was always the brash guy asking why?. Another language? Over another thousand?! Well, now I’m a few months in and I can confidently say Go has been one of the most enjoyable (and sometimes painful) languages I’ve learned. Here’s a snippet of my experience.

The First Few Weeks
The first thing that took me aback about Go was its simplicity. No fighting semicolons for whom-alls. No wheel reinventions. No “here’s twenty ways to skin a cat” type BS. So I fired up my first Hello, World!, followed a few tutorials, and thought this is going to be easy but turns out i was wrong but in a good way

Finding Your Wall: Beginner Frustration
Go has a wonderful way of taking things that seem simple and making them feel difficult. It was important for me to realize Go is simple, but not easy.
The biggest issue I ran into was how Go handles errors. Coming from other languages, I figured there would be exceptions that I could deal with later. But Go likes to keep things honest. Here’s how errors are handled:
go result, err := somethingFn()
if err != nil {
// handle error here
}
This bothered me for far too long. I constantly felt like I was writing if err != nil more than actual code. Then one day it clicked — Go made me be comfortable handling failure, because I was literally handling it everywhere! You start to internalize your failure paths.

Channels as a Reinforcement Tool
If Go has one shining feature in my opinion, it’s goroutines. The barrier of entry to understand them and utilize them is so low. It took me a second to understand that in order to spin up a goroutine, all you do was:
go doSomething()
One single keyword. My life changed that day. I was writing a small script to ping some urls and in that moment I just decided “fuck it, I’m gonna do this concurrently”. No google, no tutorials. It was empowering.

Getting Stuck? Here’s What Still Stumps Me
The good news is I haven’t hit a wall lately. But there’s still things that catch me unexpectedly:

Pointers.Don’t Lie to Me.I get pointers. Conceptually, I understand them. It’s just deciding when to use them vs when to pass by value that trips me up occasionally.
Interfaces… am I implementing you?Go is weird about interfaces. They’re implicitly implemented, so understanding why something doesn’t implement an interface can send you down some weird rabbit holes.
I still don’t understand Go’s package system.I get it, I really do. It was just one of those “when do I use what” moments that took me a freaking week to learn importing because of Cannot Find Module.. errors.

What’s Next?
Having successfully navigated the initial deep-end, I’m now focused on a year-long intensive dive into Go and Git. The goal is no longer just "making it work"—it’s about mastery, scalability, and building tools that matter.

If you're thinking about starting your journey with Go, my advice is simple: Don't be afraid of the low-level stuff. It’s where the magic actually happens.

Are you learning Go too? I'd love to hear what tripped you up or what made it click — drop a comment below!

DEV Community: Ryan Kelly

I understood 2% of that conversation-handling imposter syndrome when tech wont stop sprinting.

Learning Go Over Past Few Months