PierreHenry.Dev Tech Show

This video explains how software engineers can create an amazing user experience while building products. You will learn how to think from the user’s point of view, reduce friction, simplify flows, and design features that feel pleasant and intuitive. These principles help you ship products that users enjoy from the very first interaction.

Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.

I’ve been building several projects on my GitHub over the years that might interest you. Feel free to check them out for inspiration or contribution! And so much more to come on my LinkedIn as well! Don’t forget to follow and stay tuned!

A clear look at the key risks software engineers face when working with AI tools.

Look, AI tools are brilliant. They speed up development, help you write boilerplate faster, and can even suggest solutions you hadn’t thought of. But there’s a trap here that too many engineers are falling into, and it’s worth talking about.

From over-trusting outputs to losing technical depth, this video explains what you must stay vigilant about to keep providing real value as a software engineer.

Here’s the thing: when you rely too heavily on AI-generated code without understanding what it’s doing, you’re essentially becoming a copy-paste engineer. You lose the ability to debug properly when things break. You stop questioning whether the solution is actually the right one for your use case. You miss edge cases because you didn’t write the code yourself and didn’t think through the problem deeply enough.

And over time? Your technical depth erodes. You become dependent on tools that might give you plausible-looking code that’s actually inefficient, insecure, or just plain wrong.

Don’t get me wrong, AI tools are fantastic when used correctly. They’re brilliant for speeding up repetitive tasks, exploring different approaches, or handling the boring stuff. But you need to stay in control. You need to understand the code you’re shipping. You need to verify outputs, question suggestions, and keep your problem-solving skills active.

In this video, I’ll break down the specific risks you should watch out for and how to use AI tools as a force multiplier rather than a crutch. Because at the end of the day, the engineers who thrive aren’t the ones who blindly trust AI outputs. They’re the ones who use AI strategically whilst maintaining their technical judgement and depth.

I’ve been building several projects on my GitHub over the years that might interest you. Feel free to check them out for inspiration or jump in with contributions!

There are so much more to come on my LinkedIn as well! Don’t forget to follow and stay tuned! 🔥

Most engineering challenges aren’t just technical. They start in your mind. This video explores how the Pygmalion effect influences the way software engineers perceive problems and how shifting your mindset can make you more effective, creative, and confident in tackling any coding challenge.

Look, here’s what actually happens: if you tell yourself “I’m not good at systems design” or “I’ll never understand this codebase,” guess what? You won’t. The Pygmalion effect is real. Your expectations shape your performance in ways that are honestly kind of wild when you think about it.

But flip that script? When you approach problems with curiosity instead of fear, when you believe you can figure it out even if it takes time, something shifts. You start seeing solutions instead of roadblocks. You experiment more. You ask better questions.

In this video, I break down how your internal dialogue directly impacts your code quality, problem-solving ability, and career growth. And more importantly, I’ll show you practical ways to rewire those limiting beliefs so you can tackle challenges with the confidence they deserve. Because the difference between a stuck engineer and a thriving one often isn’t skill. It’s mindset.

You can get inspired by the open-source projects I’ve built over the past several years, available on my GitHub 🔥

And there are so much more to come on my LinkedIn. Don’t forget to follow so you won’t miss out!

Most engineers rush to solutions without seeing the real issue. In this video, I show you how to slow down, think deeper, and fix problems that matter the most!

Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.

You can get inspired by the open-source projects I’ve built over the past several years, available on my GitHub.

Breaks are not wasted time. They refuel your focus, sharpen your thinking, and help you solve harder problems with way less effort. This video shows why valuing rest can make you a stronger engineer in the long run.

Look, we’ve all been there. You’re stuck on a bug for hours, grinding away at your desk, convinced that if you just push a little harder, the solution will click. But here’s the thing: your brain doesn’t work that way. Real breakthroughs happen when you step away, reset, and let your mind process in the background. In this video, I’ll show you why taking breaks isn’t lazy. It’s actually one of the smartest things you can do for your code quality and career longevity.

Repetition slows developers down. As a software engineer or data scientist, templates help you cut out the busywork, reduce errors, and boost your coding/prompt speed. In this video, I’ll walk you through how to set up and use templates that streamline your daily workflow so you can focus on solving problems that really matter.

🏆 Get inspired by open-source projects I’ve built over the past years on my GitHub. And I’ve also plenty more content coming soon on my LinkedIn!Don’t forget to follow and stay tuned! 👀

Quick, actionable advice to level up your coding, sharpen your mindset, and optimize your workflow as a software engineer. Learn what actually separates great developers from good ones in today’s AI-driven world, and how to apply those insights to your own work right now.

No fluff, no theory you’ll never use. Just practical strategies you can implement today to write better code, think more clearly, and work more effectively in an industry that’s evolving faster than ever. Whether you’re junior or senior, these principles will help you stay ahead.

Subscribe for free to receive new posts.

You can get inspired by the open-source projects I’ve built over the past several years, available on my GitHub. And there are so much more to come on my LinkedIn!

In this video, you will learn how to develop the mindset and habits that help engineers build ambitious AI systems. This is about building the drive, confidence, and clarity needed to create work that stands out in a world shaped by AI.

Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.

I’ve built many projects on my GitHub over the years. Take a look for inspiration or jump in to contribute!

I’ve got plenty more exciting content coming your way on my LinkedIn! Make sure to hit that follow button so you don’t miss out! 🔥​​​​​​​​​​​​​​​​

Struggling to stay on top of tasks and goals? Does this sound familiar? In this Substack video, I explore with you how creating effective systems in your daily life can literally transform the way you work and live (personally and professionally).

You will learn every practical step to organise your routines, boost focus, and make lasting improvements without relying on sheer willpower.

Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.

I’ve built many projects on my GitHub over the years. Take a look for inspiration or jump in to contribute! I’ve got plenty more content coming your way on my LinkedIn!

Let’s face it, having repositories scattered everywhere on your machine is a mess. Some in Documents, others on your Desktop, a few in Downloads because “it was just a quick clone”... You get the idea.

The problem is that most developers don’t think about folder organization until they have 50+ repositories in random locations. Then, every time you need to jump into a project, you’re playing the guessing game of where you put it.

What if we could have a simple, consistent structure that makes navigating between projects effortless?

Here’s the thing: your folder structure should mirror how you actually work. The most common convention is to keep all repositories under ~/Code or ~/Projects. Personally, my favorite one is ~/Code (and I’d recommend you stick with it too). Then group by organization or client first, then by project. Something like ~/Code/company-name/project-name or ~/Code/client-name/repo-name.

Key principles:

* One main development folder for everything (~/Code is the way to go ✅)

* Clear, consistent naming conventions

* Group by organization/client, then by project

* Avoid nesting too deep - two or three levels max

The beauty of this approach? When you need to quickly jump into a project, you know the pattern, you follow it, and you’re in. Simple as that.

No more time wasted hunting for repositories. No more confusion about which version you’re working on. Just a clean, organized workspace that lets you focus on what actually matters: writing code 🚀

Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.

I’ve developed numerous projects on my GitHub over the years. Feel free to browse them for inspiration or to contribute!