
It’s 2026, and if you aren’t using an AI assistant to write code, you might feel like you’re bringing a knife to a gunfight. But let’s be real for a second—how much of that generated code do we *actually* understand?

I was scrolling through a Reddit thread the other day where a senior dev confessed, *"I feel like I am managing a team of very fast, very confident, but slightly drunk junior developers."* And honestly? That hits home.

## The Productivity High

There is no denying the rush. You type `// function to parse CSV and upload to AWS S3`, hit Tab, and boom—20 lines of boilerplate code appear instantly. What used to take 15 minutes of Googling and syntax checking now takes seconds.

Tools like GitHub Copilot and Claude have revolutionized the "boring" parts of our job. Writing unit tests? Easy. Converting JSON to TypeScript interfaces? Done. It feels like having a superpower.

## The "Silent Killer" Vulnerabilities

But here is the catch. AI doesn't know *why* it's writing code; it only knows what code usually follows the previous characters.

I recently spent four hours debugging a race condition that Copilot introduced. It looked perfect on the surface—clean syntax, proper variable names—but logic was fundamentally flawed for a concurrent environment. Because the code *looked* right, I didn't scrutinize it as hard as I would have if I’d written it myself.

## The Junior Developer Trap

The biggest concern circulating in developer communities right now is the "hollow skill set." Juniors are skipping the struggle. The struggle is where learning happens. If you never bang your head against the wall trying to understand why a `useEffect` loop is firing infinitely, do you really understand the component lifecycle?

## Conclusion

AI is here to stay. It’s an incredible tool for velocity. But we have to remain the **pilots**, not the passengers. Treat AI output like code from a colleague you don't fully trust yet—review it, test it, and for the love of clean code, don't just blindly commit it.


Programming with AI: The Copilot Dilemma


We are living through a paradigm shift comparable to the invention of the internet or the smartphone. Large Language Models (LLMs) and Generative AI are not just buzzwords anymore; they are embedded in our IDEs, our search engines, and our customer support chats.

## The Magic of Context

The true power of modern GenAI isn't that it can "speak" English; it's that it can understand *context* (mostly).

I recently pasted a cryptic error log from a legacy Java application into ChatGPT. It didn't just tell me what the error meant; it pointed out that my dependency version was incompatible with the server environment. It connected dots that would have taken me hours to verify manually.

## The Hallucination Problem

But here is the danger: LLMs are confident liars.

They function on probability, not truth. If you ask an LLM to cite a paper or a specific function in a niche library, there is a non-zero chance it will just invent one that sounds plausible.

In the medical or legal fields, this is catastrophic. In programming, it’s annoying but manageable—until you copy-paste a command that deletes your production database because the AI "thought" it was a cleanup script.

## The "Stochastic Parrot"

Are these models actually intelligent? Or are they just "stochastic parrots," mimicking the patterns of human language without understanding meaning?

From a pragmatic engineering perspective, it doesn't matter. If the parrot can write a Python script to automate my data entry, I’m hiring the parrot.

## The Future of Work

The difficulty lies in adaptation. We are moving from "writers of code" to "architects of solutions." The value isn't in knowing the syntax of a `for` loop anymore; it's in knowing *which* problem to solve and verify that the AI solved it correctly.

GenAI isn't coming for your job—but a developer who knows how to wield it effectively might be.


LLM and GenAI: Beyond the Hype


NextJS is a **framework for ReactJS**.

Wait a second ... a "framework" for React? Isn't React itself already a framework for JavaScript?

Well ... first of all, React is a "library" for JavaScript. That seems to be important for some people.

Not for me, but still, there is a valid point: React already is a framework / library for JavaScript. So it's already an extra layer on top of JS.

## Why would we then need NextJS?

Because NextJS makes building React apps easier - especially React apps that should have server-side rendering (though it does way more than just take care of that).

In this article, we'll dive into the core concepts and features NextJS has to offer:

- File-based Routing
- Built-in Page Pre-rendering
- Rich Data Fetching Capabilities
- Image Optimization
- Much More

## File-based Routing

![Create routes via your file + folder structure](nextjs-file-based-routing.png)

... More content ...


Getting Started with NextJS1


JavaScript powers the web - it's **the** most important programming language you need to know as a web developer.

For example, you should understand code like this:

```js
const basics = 'Okay, that should not be too difficult actually';

function printBasics() {
  console.log(basics):
}

printBasics();
```

Learn more about it [here](https://google.com).


Hi, I'm Luk

Featured Posts

Programming with AI: The Copilot Dilemma

LLM and GenAI: Beyond the Hype

Getting Started with NextJS1

Mastering JavaScript