PierreHenry.Dev Tech Show

Real progress comes from doing, not overthinking. In this video you’ll see how small, consistent actions can help you grow as a software engineer and make better decisions in your work.Look, I’ve seen so many talented engineers stuck in analysis paralysis. They’re constantly reading about the best architecture patterns, watching tutorials, planning the perfect approach... but they’re not actually building anything. And you know what? They’re not improving either.Here’s the thing: growth happens when you’re doing, not when you’re overthinking. You learn way more from building something messy and refactoring it than from reading 10 articles about clean code. You develop better judgement from making mistakes and fixing them than from trying to avoid mistakes entirely.Spotting what truly matters is a skill in itself, right? And you only get good at it through practice. When you’re actually building, you quickly see which decisions have big impact versus which ones don’t really matter. You can’t learn this from theory. You have to feel it.Well... small, consistent actions compound faster than you’d think. Writing one well-tested function today, refactoring one confusing piece of code tomorrow, asking one good question in a code review the day after. These tiny improvements add up (compound) to genuine skill over weeks and months!Taking action with clarity means you’re not just randomly trying things. You have a rough plan (doesn’t need to be perfect), you understand what you’re trying to achieve, and you’re willing to adjust as you go. But the key word is “go”. You’re moving forward, not stuck in planning mode forever!Building habits that help you improve faster looks like this: build something small every day, even if it’s just 30 minutes. Regularly study the logic behind a project you admire. Get your work reviewed and actually apply the feedback. Refactor one small thing each time you touch old code. These aren’t dramatic, but they work.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

TL;DRAfter spending quite some time exploring various engineering topics and building impactful projects while keeping healthy habits, today I am taking a break to focus on a new chapter.Taking a Break to Focus on What's NextAfter quite some time writing about AI, research, and building with healthy habits, I'm stepping back from content creation.What Changes✓ All existing posts remain available✗ No new posts will be published✗ Comments won't be monitored✗ Newsletter is pausedWhy I'm Telling You This…Everything I've written here was created on my own time, independently. I'm proud of this work and want to preserve it properly as I shift my focus elsewhere.Keep GoingDon't wait for permission. Don't wait for perfect conditions. Keep learning. Keep building. Keep applying what you discover. That's where growth happens—in the doing, not the planning. Maybe I'll be back with new insights someday. Maybe not. Either way, thank you for being here.What This Really Means to You…* All existing posts remain available.* No new posts will be published.* I won’t be responding to comments.* Newsletter is paused.Thanks for being part of this journey!Keep learning, researching, practicing, and growing! 🚀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

A reflection on what genuinely helps engineers grow. It is not about knowing everything but about recognising when your approach no longer fits, adjusting your skills, and staying open to change. When you learn to adapt your habits and use the right skills at the right moment, your work becomes clearer, quicker, and far more meaningful. You start solving problems with more confidence, making better decisions, and understanding your craft in a deeper, more practical way.Spoiler Alert: We will also discuss about CouchDB, PouchDB, and other very exciting things! ⚡️I’ve built tons of product-centric projects on my GitHub over the years. Feel free to check them out for inspiration or jump in to contribute!I’ve got more content coming your way on my LinkedIn.Keep learning. Keep researching. Keep practicing. Keep growing! 🚀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Most side projects fade. This one didn’t. In this video, I explain how choosing meaning over hype changes how you build, why you stay consistent, and what finally makes a project worth finishing instead of abandoning halfway through.We’ve all been there. You see a trending framework on Twitter, get excited, start a new project, build for three days, then... it just sits there. Unfinished. Forgotten. Added to the graveyard of abandoned repositories with a README and nothing else.Here’s what I’ve learned: projects built on hype die the moment the hype fades. You start because something looks cool or you think it’ll be impressive on your portfolio. But when the initial excitement wears off and you hit the boring middle part? There’s nothing left to keep you going.Choosing meaning over hype changes everything. When you build something that solves a real problem you care about, the motivation is completely different. You’re not building because it’s trendy. You’re building because you genuinely want this thing to exist. That deeper purpose carries you through the hard parts where most people quit.Well... staying consistent becomes natural when the project actually matters to you. It’s not about forcing yourself to work on it or setting arbitrary goals. You just... keep coming back to it. Because you want to see it finished. Because you’re excited about using it yourself or seeing others benefit from it.And here’s what makes a project worth finishing: it solves something real. Not theoretical. Not “this might be useful someday.” Real problems that you or someone else faces right now. When you can picture the exact person who’ll benefit from what you’re building, finishing stops feeling like a chore and starts feeling necessary.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. Check them out for inspiration or contribution!I’ve got plenty more content coming your way on my LinkedIn! Hit the ‘follow’ button so you won’t miss out! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

If you feel like you’re learning slower than others…, this one is for you! I’ll share the exact mindset and structure to develop a learning loop that accelerates your progress, project after project. I used to watch other engineers pick up new technologies seemingly overnight whilst I struggled for weeks with the same concepts. It felt rubbish, honestly. Like everyone had some secret learning ability I just didn’t have.But here’s what I discovered: fast learners aren’t magically smarter. They’ve just built better learning loops. They extract more knowledge from each project, apply it to the next one, and compound their skills faster than people who treat every project like starting from scratch.The mindset shift is huge. Instead of “I need to learn everything about React before I start”, it becomes “I’ll learn what I need for this specific feature, build it, see what breaks, and learn from there”.Active learning through doing beats every single time passive learning through reading.Well… here’s what a proper learning loop looks like: You build something. You encounter problems you don’t know how to solve. You figure them out (through docs, asking questions, experimenting). You reflect on what you learnt and why it works that way. You apply that knowledge to the next thing you build. That last step is what most people skip, and it’s where the acceleration happens.The structure matters too, right? After finishing any project (even small ones), spend 10 minutes asking yourself the following:* What did I learn? * What would I do differently next time? * What patterns or concepts clicked that I can use elsewhere? These questions turn random experiences into structured knowledge that actually sticks.I’ve developed numerous projects on my GitHub over the years. Feel free to browse them for inspiration or to contribute! And I’ve so much more to come on my LinkedIn as well! Don’t forget to follow and stay tuned!Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Keep learning. Keep researching. Keep practicing. Keep growing! 🚀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

In this video, I explain why the best engineers never start by coding.Look, I get it. You have an idea, you’re excited about it, and your fingers are itching to open your IDE and start hammering out code. I’ve done this countless times myself. But here’s the thing: that’s usually how you end up with a complete mess three weeks later, wondering why nothing works the way you imagined it would.The best engineers? They begin with clear plans, simple sketches, and fast prototypes to understand what truly needs to be built. Not fancy over-engineered architecture diagrams or 50-page documentation that nobody will read. Just enough planning to avoid wasting weeks building completely the wrong thing.This approach reduces wasted work massively. You catch obvious problems before writing a single line of code. You realise that feature X doesn’t actually solve the real problem when you sketch it out on paper. You see that the data flow you had in your head won’t work in practice. All of this happens before you’ve invested days into implementation that you’ll have to throw away.It also improves product quality because you’re thinking through edge cases, user flows, and technical constraints upfront instead of discovering them when it’s too late. And it gives you a much clearer path from idea to final outcome. No more “I’ll figure it out as I go” coding sessions that lead absolutely nowhere.In this video, I’ll break down how to plan effectively without overdoing it, how to sketch out ideas quickly (honestly, pen and paper works brilliantly for this), and how to build throwaway prototypes that answer your biggest questions before committing to a full implementation.Because at the end of the day, the fastest way to ship something good isn’t to code first and think later. It’s to think just enough, then code with clarity and purpose. Your future self will thank you for it.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! And I’ve got more content coming your way on my LinkedIn.Keep learning, researching, practicing, teaching, and growing! 🚀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

In this video, you’ll see the real skills that matter now that AI is changing engineering work. These are the abilities that keep you valuable, relevant, and ahead of the curve. If you want to stay competitive, this is the checklist that actually counts.As we know, AI is changing our industry faster than most people realise. If your main skill is writing boilerplate code or implementing basic features, you’re in trouble. AI can do that stuff now, and it’s getting better every week.Here’s what actually matters: the skills AI can’t replicate. Understanding what problem needs solving in the first place. Making architectural decisions with real trade-offs. Knowing when to ship simple versus when complexity is justified. These require human judgement, not pattern matching.System thinking is absolutely crucial now. AI can write individual functions brilliantly. But can it design how an entire application should fit together? Can it understand the second and third-order effects of architectural choices? Can it balance competing priorities like performance, maintainability, and time to ship? Not really. That’s where you add value.Product sense separates engineers who stay valuable from those who get replaced. AI doesn’t know what users actually need. It can’t tell you whether a feature solves a real problem or creates more confusion. It can’t prioritise what to build based on impact. You can. Develop that skill ruthlessly.Communication becomes more important, not less. When AI can generate code, your ability to explain complex technical decisions to non-technical people matters more than ever. Your skill at writing clear documentation. Your talent for asking the right questions before building. These human skills compound your AI-amplified technical abilities.Problem identification might now be the most valuable skill. AI is brilliant at solving well-defined problems. But spotting that a problem exists in the first place? Understanding the root cause versus symptoms? Knowing which problems are worth solving? That’s still very much a human game.Knowing how to use AI effectively is also a skill. Not everyone uses it the same way. Some engineers treat it like advanced autocomplete. Others use it as a thinking partner that helps them explore approaches, spot edge cases, and prototype rapidly. The gap between these two approaches is significantly massive.Critical thinking about AI outputs is essential. AI confidently generates code that looks right but has subtle bugs. Can you spot when it’s wrong? Can you evaluate whether its suggested approach is actually the best one for your context? Or do you just accept whatever it generates and ship it without understanding?In this video, I’ll break down each skill that matters in the AI era. System thinking and architecture (how to design robust systems that scale). Product sense (how to identify what’s worth building). Communication (how to influence decisions and explain technical choices). Problem identification (how to spot valuable problems before anyone asks). And AI fluency (how to use AI as a force multiplier without becoming dependent on it).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! 🔥There are so much more to come on my LinkedIn as well! Don’t forget to follow and stay tuned! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! 👀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! 🔥​​​​​​​​​​​​​​​​ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

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 maxThe 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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Managing a large codebase can feel overwhelming, especially in fast-moving teams. Let’s be honest: keeping thousands of lines of code clean, scalable, and maintainable while staying sane? That’s the real challenge.In this video, I share the proven strategies and real-world habits that senior engineers actually use to tackle massive codebases without burning out. You’ll learn how to break down complexity, maintain quality under pressure, and develop the mental models that make even huge projects feel manageable.Whether you’re joining a large project or watching your own codebase grow, these practical techniques will help you work smarter. 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. And there are so much more to come on my LinkedIn! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Startups look exciting from the outside, but the reality? It’s a whole different beast. Behind the fast pace and big ambitions, you quickly learn what true ownership actually means, how to thrive in constant chaos, and how that pressure can accelerate your growth in ways a stable job never could. Here’s what working as an engineer in a fast-moving startup taught me.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! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

AI tools can save five hours a day when they take over the slow parts of your work. Tools such as Claude Code, OpenAI Codex, Cursor, ChatGPT and Perplexity help you write better code, explore ideas faster, debug issues, document your work and plan entire features without wasting time on guesswork. When they are used together in the right way, they remove repetitive tasks, shorten feedback loops and give you clearer thinking space. The result is a threefold increase in the quality of what you deliver because you spend your time on structure, decisions and design rather than typing and searching. This video shows how to use each tool properly and how to combine them into a daily workflow that makes you far more effective.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! 🔥​​​​​​​​​​​​​​​​ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Today, I’ll show you how to ship features like you actually mean it. You’ll learn to build a release plan that holds up under pressure, add observability that tells you what’s really happening, track the metrics that matter to users, and spot problems while they’re still small. These are the moves that separate shaky deployments from rock-solid releases. Perfect for engineers ready to stop crossing their fingers at deploy time and start shipping with real confidence.​​​​​​​​​​​​​​​​I’ve built tons of projects on my GitHub over the years. Check them out for inspiration or contribution. I’ve got more content coming your way on my LinkedIn! Hit that follow button so you don’t miss out 🙂🔥 Subscribe for free to receive new posts 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Learn the secret techniques and methods to build a fully functional, complex application using only AI tools. Follow the workflow, strategies, and practical steps to turn your ideas into real-world software without writing traditional code.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.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! 🔥​​​​​​​​​​​​​​​​ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Learn how the Occam’s Razor principle can simplify your thinking and decision-making. In this video, I explain why choosing the simplest solution often leads to the clearest and most effective results.You can get inspired by the open-source projects I’ve built over the past several years, available on my GitHub. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Learn the power of just-in-time learning. Instead of memorizing everything “just in case”, focus only on the knowledge you actually need when it matters most. Learn smarter, retain more, and apply your skills instantly. Perfect for engineers, creators, and anyone looking to level up efficiently.I suggest you reading my entire article on being a happy minimalist on my Medium post.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Get inspired by open-source projects I’ve accomplished over the years on my GitHub.And there are so much more to come on my LinkedIn as well! Stay tuned! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

AI writes code fast, but it doesn’t understand what it doesn’t know. And it doesn’t know everything either (specific state time zones, local public holidays, regional surcharges, etc.) that can be a crucial factor in your application. In this video, I break down for you the critical thinking gap that happens when we blindly trust AI output.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! And there are so much more to come on my LinkedIn as well! Stay tuned! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Time is your most valuable resource as a software engineer. Learn how to prioritise tasks, create effective routines, and organise your work so that each day feels productive and purposeful. These techniques help you achieve more while keeping stress under control.Start being inspired by open-source projects I’ve built over the past years on GitHub. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

In this video, I share the habits and systems that keep me focused and organized as a software engineer. From structuring deep work to managing constant context switches, learn how to stay productive without losing your sanity in the world of complex projects and endless meetings.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Get inspired by open-source projects I’ve built over the past years on my GitHub. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

In this short video, you’ll learn how software engineers can adapt, upskill, and stay relevant in the fast-changing AI era.Your role as an engineer is evolving, making the journey more exciting and full of new opportunities to create innovative solutions.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Be inspired by open-source projects I’ve built over the past years on GitHub. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Custom Claude Code Agents make building software easier by letting you design AI helpers that understand your tools, your workflow, and your codebase.​​​​​​​​​​​​​​​​In this video, you will see how these agents can analyse projects, write full features, refactor code, handle complex tasks and support your engineering process with far more context than regular chat interactions.You will also learn how to create your own agents, connect them to real systems and use them to boost your daily work as a developer.I’ve developed numerous projects on my GitHub over the years. Feel free to browse them for inspiration or to contribute! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Learn how top engineers turn AI into their ultimate superpower tool, surfing its power to solve problems faster and make smarter decisions. Step into action and leverage AI to push your skills to the next level.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 as well! Stay tuned! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Being a successful engineer is not just about coding. It is about planning smart, defining clear goals, knowing what to learn, and organising your work efficiently. In this video, I show practical strategies and dev tricks to manage your time, focus on what truly matters, and become a more productive, goal-driven engineer!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 plenty of projects on my GitHub over the years. Feel free to browse through for inspiration or jump in to contribute if something catches your eye!I’ve got more exciting content coming your way on my LinkedIn. Make sure to hit that follow button so you don’t miss out! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Discover how I integrate AI in every part of my daily life as a senior software engineer. From writing code faster, managing complex projects, learning new skills, to making better decisions, AI has become my secret superpower. Learn my daily routines, favorite tools, and techniques that make me stronger, faster, and more productive.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Now, you can also get inspired by open-source projects that I’ve built over the past years on my GitHub 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Apply what you learn right away in everything you do.Be better at what you do by practicing proactively your learning lessons. Every insight you gain is only as valuable as the action you take. Learn how to immediately apply new skills, techniques, and knowledge to real projects so you can grow faster, avoid common mistakes, and see tangible results in your work and life.Start building great growth habits! Enjoy!You can get inspired by the open-source projects I’ve built over the past several years, available on my GitHub. And so much more to come on my LinkedIn! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Great code isn’t enough. As a software engineer, the quality of your decisions shapes your career, your projects, your problem-solving curve, and growth. Learn why decision-making is the ultimate skill to master.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.And there are so much more to come on my LinkedIn! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Want to break into AI but don’t know where to start? This guide walks you through the exact steps, tools, and frameworks you need to start learning AI today. Build real projects, gain the right skills, and set yourself up for a career in AI, without getting lost in useless tutorials or theory.Get inspired by real-world open-source projects I’ve done over the years on my GitHub 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Many developers focus only on individual components, missing how they fit into the overall system. In this video, I explain why taking a step back to see the full picture not only prevents costly mistakes but also transforms your projects from fragile pieces into a resilient, maintainable system that can grow with your vision.I’ve built a lot of product-centric projects on my GitHub over the years. Feel free to check them out for inspiration or jump in to contribute!I’ve got more content coming your way on my LinkedIn. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Learn the mindset that separates good developers from great ones. And become more effective, focused, and fulfilled in your software engineering career.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! This post is public so feel free to share it.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! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

If you want to move into AI engineering, start with Python. It has the best libraries, the fastest learning curve, and the strongest ecosystem. In this post, I explain why Python helps you build real AI projects quickly and why it is still the most practical first choice for anyone entering the field.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 a bunch of projects on my GitHub over the years. Feel free to check them out for inspiration or jump in with contributions!​​​​​​​​​​​​​​​​ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Managing time as a software engineer isn’t just about calendars and to-do lists. It’s about protecting focus, reducing distractions, and building rhythms that let you code better and live better.Be inspired by open-source projects I’ve built over the past years on GitHub. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

As a software engineer, mastering this skill often-overlooked skill can dramatically boost your impact, productivity, and career in the tech industry.👉 Remember, today is the right time to take the proactive learning actions!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.And there are so much more to come on my LinkedIn! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

After years working in large companies, I’ve learned the key lessons that help software engineers unlock the flow state. In this video, I’ll share how to stay focused, productive, and creative as a developer without burning out.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! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Apply these key success principles to improve your skills, boost your impact, and thrive as a software engineer. Excellence is a habit you can cultivate.With that being said, keep up with your excellent work! 💪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 also browse my open-source projects I’ve built over the several years on GitHub 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

In software engineering, the simplest, cleanest solutions often outperform complex ones. Learn why focusing on clarity and minimalism saves time, reduces errors, and drives better results.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! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Meditation isn’t just for relaxation. It can make you a sharper, calmer, and more focused software engineer while avoiding unnecessary mental loads. I will share with you how daily meditation can boost your productivity, reduce stress, and help you write better code.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work.Over the years, I’ve built several projects on my GitHub. Browse them for inspiration or contribute if you’d like! This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

From coding to daily decisions, simplicity creates clarity and impact. Learn how Occam’s Razor can help you focus on what truly matters and get better results with less effort.Subscribe for free to receive new postsYou 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! 🔥 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev

Many developers misuse AI and risk stalling their growth. Learn how to use AI the right way to boost your skills and stay on track with a clear career vision.Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🔥! Subscribe for free to receive new posts and support my work. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev