DEV Community: Aaron Brown

What Nobody Told Me About Learning JavaScript

Aaron Brown — Tue, 02 Jun 2026 06:36:57 +0000

When I started learning JavaScript, I thought the hardest part would be understanding syntax.
It wasn’t.
The hardest part was going from tutorials to actually building something on my own.

You watch a few videos, learn map, filter, and reduce, and everything feels manageable. Then you try to build even a simple project and suddenly nothing works anymore. Errors everywhere. Logic breaking for no reason. You spend 40 minutes debugging something only to realize you misspelled a variable name.

That phase is frustrating, but it’s also normal.

Here are a few things that genuinely helped me get past it.

Stop Trying to Memorize Everything

Early on, I wasted a lot of time trying to memorize array methods and syntax.

That was a mistake.

You do not need to remember everything. You just need to know what exists and roughly when to use it. The rest can be searched in seconds.

The basics matter more than memorization:

Variables (let and const)
Conditions (if / else)
Loops
Functions
Arrays and objects
Basic DOM selection

That foundation carries you much further than trying to memorize every method on MDN.

Even experienced developers still look things up constantly.

Arrays Started Making Sense When I Stopped Overcomplicating Them

For a long time, I thought my code had to look “advanced.”

It doesn’t.

Sometimes a simple loop is enough.

let numbers = [1, 2, 3, 4, 5];
let result = [];

for (let i = 0; i < numbers.length; i++) {
    if (numbers[i] > 2) {
        result.push(numbers[i] * 2);
    }
}

Is it the shortest solution? No.

Does it work? Yes.

You can always refactor later after your logic makes sense.

Objects Are Just Organized Data

Objects confused me at first because people explained them in complicated ways.

In reality, they’re just containers with labels.

let user = {
    name: "Alex",
    age: 29,
    hobbies: ["coding", "coffee"]
};

console.log(user.name);

That’s most of what you need to understand at the beginning.

Functions Became Easier Once I Thought About Input and Output

This clicked much later than it should have.

A function takes something in, does something to it, and gives something back.

function doubleIt(number) {
    return number * 2;
}

let result = doubleIt(5);

That simple mindset made functions much easier to understand.

The Debugging Phase Is Part of Learning

At some point, you’ll write code that makes absolutely no sense.

You’ll add console.log() everywhere.
You’ll stare at the screen for an hour.
You’ll think you’re terrible at programming.

That’s part of the process.

A lot of programming is:

Breaking things
Figuring out why they broke
Fixing them
Repeating the cycle

Every bug you solve builds experience that tutorials can’t really teach.

Small Projects Help More Than Big Courses

The projects that helped me most were simple.

A Todo List

Everyone builds one for a reason.

You learn:

DOM manipulation
Event listeners
Storing and updating data
Rendering information on the page

A Counter App

A number with increment and decrement buttons sounds basic, but it teaches state management naturally.

Keyboard Input Project

Press a key and display it on screen.

This helps you understand events and user interaction.

Background Color Changer

Simple project, but great for learning DOM updates and styling through JavaScript.

None of these projects are impressive.

But they teach the mechanics behind larger applications.

What I’d Tell Myself Earlier

Start with the Console

Before touching the DOM, make your logic work in the console first.

It’s much easier to debug small pieces of logic than a full UI.

Break Problems Into Smaller Parts

Large functions become difficult to reason about quickly.

// Hard to maintain
function doEverything() {
    // 50 lines
}

Smaller functions are easier to debug and reuse.

function getData() {}
function processData() {}
function displayData() {}

Read Error Messages

I ignored error messages for way too long.

Most of the time, JavaScript is literally telling you:

what broke
where it broke
and sometimes even why

Line numbers save a lot of time.

Take Breaks

Sometimes the fastest way to solve a bug is to stop looking at it for 20 minutes.

A surprising number of solutions appear once your brain resets.

Final Thought

Learning JavaScript can feel overwhelming at first because there’s always more to learn.

But nobody starts out confident.

Every developer you look up to spent time being confused, stuck, and frustrated too.

The difference is that they kept building anyway.

So build small things.
Break things often.
Debug patiently.
Keep going.

Nobody Warns You That Real Software Engineering Feels Chaotic

Aaron Brown — Mon, 25 May 2026 12:25:05 +0000

I used to think good developers were people who wrote perfect code quickly. Now, i think good engineers are people who can survive complexity long enough to make systems work because once you leave tutorials behind, everything becomes messy.

-Your AI model works…
until real time video streams enter the picture.
-Your backend scales…
until voice calls, sockets, and concurrency hit at once.
-Your Docker container builds…
except OpenCV suddenly refuses to link correctly.
-Your architecture looks clean…
until latency, memory, GPUs, and networking start fighting each other.

That’s the part I’ve started enjoying most.

The chaos.

Lately I’ve been building systems involving:

Go backends
AI detection pipelines
Computer vision
Real-time communication
Edge-device optimization
Gaming infrastructure
Local network systems
Multi-service architectures

And honestly,
Half the work is debugging interactions between technologies that were never designed to cooperate nicely.

But that’s also where real growth happens.

Not while watching tutorials.
Not while copying boilerplate.

Growth happens when:

nothing works,
logs make no sense,
dependencies break,
performance collapses,
and you still keep digging until the system stabilizes.

One thing I’ve learned:
Complex projects force you to become resourceful.

You stop asking:
“What’s the correct answer?”

And start asking:
“How do engineers figure things out when there is no guide?”

That shift changed how I approach software completely.

What Building an AI Surveillance System Taught Me About Software Engineering

Aaron Brown — Fri, 15 May 2026 05:59:25 +0000

Most beginner developers build projects.
I spent the last months building systems.
Not “a todo app.”
Not “a weather app.”
Designing actual systems with moving parts:

AI surveillance pipelines in Go + Python
Real-time gaming infrastructure
Edge-device computer vision
Voice/video communication stacks
Competition platforms
Detection models
Local networking
High performance backend services

At some point I realized:
The hard part of software isn’t writing features.
It’s making multiple technologies cooperate under real constraints.
Memory limits,
Latency,
Concurrency,
GPU bottlenecks,
Networking,
Streaming,
Containers,
Architecture decisions.

That changed how I learn.
Now when I pick up a tool, I don’t ask:
“What tutorial can I follow?”
I ask:
“What can this become when connected to 5 other systems?”
That mindset forced me to:

Learn Go beyond syntax
Understand CGO and native bindings
Work with OpenCV and AI inference pipelines
Think about edge deployment
Design scalable communication systems
Care about performance instead of aesthetics alone One thing nobody tells beginners: Building ambitious things teaches faster than endlessly preparing.

You will fail often.
Your architecture will break.
Your Docker setup will explode.
Your model pipeline will desync.
Nothing compiles the first time.

But eventually you stop being intimidated by the complexity.
And that changes everything.

Recreating Math.floor without the Math object? Here is my manual approach.

Aaron Brown — Sun, 10 May 2026 10:15:47 +0000

Ever tried to solve a problem while someone tied your hands behind your back? I recently took on a challenge to rebuild JavaScript's rounding methods without using any of the built in Math functions, no bitwise operators, and not even the % operator.It sounds easy until you realize how many shortcuts we take for granted.

The Logic:
Finding the Floor, the biggest hurdle was performance. If you just loop 1 by 1 from zero, you'll crash the browser on large numbers. I decided to use a "fast-forward" while loop to jump by 100,000 at a time before using a for loop to find the exact integer.Here is the full implementation I came up with:

function floor(num) {
  if (num >= 0) {
    let i = 0
    while(num > i+100000){
        i = i+100000
    }
    for (i; ; i++) {
      if (i + 1 > num) return i
    }
  } else {
    for (let i = 0; ; i--) {
      if (i <= num) return i
    }
  }
}

function ceil(num) {
  let f = floor(num)
  return f === num ? num : f + 1
}

function trunc(num) {
  return num >= 0 ? floor(num) : ceil(num)
}

function round(num) {
  if (num >= 0) {
    return num - floor(num) >= 0.5 ? ceil(num) : floor(num)
  } else {
    return num - floor(num) >= 0.5 ? ceil(num) : floor(num)
  }
}

Breakdown of the approach:

The "Big Jump":
In the floor function, I used while(num > i+100000) to skip through huge ranges. This keeps the execution time low even for values in the millions.

*Infinite Loops for recision: *
I used for(i; ; i++) without a middle condition. Since I know I’ll eventually hit a number larger than num, the if statement handles the return and breaks the loop safely.

Reusability:
Once floor was solid, ceil and trunc became easy extensions. They just lean on the core logic of finding that base integer.

Why do this?
It’s easy to call Math.round() and move on. But building it manually makes you think about how numbers are actually stored and compared. It's a great exercise in control flow and manual optimization.How would you have handled the jump logic? Would you go bigger than 10,000? Comment below! 👇

javascript #coding #webdev #algorithms

The Hidden Beauty of JavaScript’s findExpression Problem

Aaron Brown — Sun, 10 May 2026 09:09:24 +0000

In programming, we often look for the shortest path between two points. But sometimes, the journey itself is the logic.I recently worked on a puzzle: Start at 1, and reach a target number using only two operations: +4 and *2. This isn’t just a math game; it’s a perfect introduction to Recursive Backtracking.

The Approach
When you use recursion to solve a path finding problem, the code behaves like an explorer in a cave. It tries every left turn until it hits a dead end, then it walks back and tries every right turn.

function search(current, path) {
  if (current === target) return path;
  if (current > target) return undefined;

  return search(current + 4, path + " +4") || 
         search(current * 2, path + " *2");
}

Why it matters
This logic is the foundation of AI pathfinding, game development, and even how some search engines crawl the web. It teaches us that "failing" a recursive branch isn't an error it's just a way to narrow down the truth.

Next time you're stuck on a complex nested loop, ask yourself: Could recursion make this a more elegant journey?

[Boost]

Aaron Brown — Fri, 08 May 2026 10:06:25 +0000

Huseyin Gumus

Dec 21 '22

Understanding the Role of Arrow Functions in JavaScript

#discuss #programming

2 min read