🧐AI Can’t Replace You

But It Sure Can Help You Code Faster

✍️In my last post, I shared how I think coding will look in five years.

Where we might only spend half our time actually writing code.

💻Copilot

A recent study on GitHub Copilot backs this up.

The study didn’t just look at Copilot in a lab, but in real-world workplaces.

💡Over 1.3 million developers and 50,000 businesses are using Copilot.

Developers who used Copilot finished tasks 26% faster, updated code more often (13.55%), and compiled code way more frequently (38.38%).

The biggest improvements were seen with junior developers.

They’re the ones making massive productivity leaps, which makes sense.

Using Copilot feels like coding with my younger self—excited to build fast but needing a little guidance.

It’s like having an extra brain, but you’re still the one in charge.

For anyone still doubting LLMs place in coding, I get it.

But dismissing these tools because they “can’t produce reliable code” misses the point. To me, Copilot isn’t replacing developers—it’s just a tool that helps us code faster.

🧠Deep Knowledge

Here's something a lot of people miss: Not all knowledge is created equal.

People often confuse deep knowledge with shallow knowledge, and that can be a real problem, especially in software development.

For example, if you’re learning a specific JavaScript API or following a tutorial that's shallow knowledge. It’s useful, sure, but it’s limited in scope.

You’re just picking up on arbitrary decisions someone made about how to interface with something.

It doesn’t give you a real understanding of what's going on under the hood.

Deep knowledge, on the other hand, is reusable across the entire tech industry.

It’s about understanding the *why* behind things—

1. How systems work

2. The design patterns, concurrency

3. How things fit together.

Learning a framework that just came out yesterday? That’s shallow.

But understanding *what problem* that framework solves? That’s deeper.

I’m not saying frameworks and third-party tools are bad—far from it.

Sometimes they save you time or solve specific problems more efficiently.

But before you dive into the latest shiny tool, ask yourself:

• What problem is this solving for me?

Is it because I don’t have time to build something from scratch, or is it because the framework aligns with my project’s needs?

This is why I keep emphasizing sustainable software development.

Remember developers spend 60% of their time reading code. Reading code is a strategic asset. 

Knowing how to read all types of code is a valuable skill to have.  

These are the skills that make it easier to shift between languages, explore new frameworks, and navigate through the constant changes in tech.

A lot of people think foundation is just algorithms and data structures.

But it's so much more.

It’s about understanding how design patterns can be applied across different languages and projects.

If you’re planning to stay in the tech industry long-term, don’t ignore this deep knowledge.

🧠Keep learning it, because these fundamentals are going to stick around, and mastering them will make your life a whole lot easier down the road.

📖Continuous Learning

Whether you’re a developer wrestling with your codebase or a non-technical founder trying to grasp what’s going on. It’s about understanding your problem and mastering your codebase.

📌In Code Therapy, these sessions are designed to break down the complexities and make everything clear.

Together we dive deep into your specific challenges, providing insights and solutions tailored just for you.

🌎Sharing is Caring

♻️If you’re into this kind of post, heart the button & share please 🙏

If not, well, you know what to do. Either way, I’ll be here writing what I love.

Thanks for reading 🖖

Come say hi 👋 I love to chat at LinkedIn