Hello AI World

I'm a developer, and my job will never be the same again.

Technology

Who Am I?

In the jargon, I’m what we call a nerd. Passionate about technology, but especially about creating concrete tools, the kind that produce real results in the field.

For over twenty years, I’ve been building software. First out of curiosity, then as a profession, and today with a clear conviction: software only has value if it solves real problems.

I’m a software engineer and entrepreneur, based in Switzerland.

2003: Discovering Programming

I discovered programming in 2003, at the age of 13. My first language? Visual Basic 6.

At that moment, I unknowingly opened the door to a completely new world. A world where you can create something from nothing, test, break, start over, without real limits.

Very quickly, I multiplied my experiments:

Creating video games
Developing websites
Small software programs
Task automation well before the term became popular

It wasn’t a profession yet. It was a fascination.

2012: From Passion to Profession

Unsurprisingly, I directed my studies toward software development. In 2012, I officially became an engineer.

But above all, I discovered the reality of the field: business constraints, users, deadlines, and one obvious truth: code is never an end in itself.

Alongside my studies, I co-founded my first company. I then began to commercialize my skills, deliver projects, and understand what truly creates value for software in a business context.

Creating Products That Matter

What excites me has never been technology for technology’s sake. What motivates me is designing useful products, that save time, simplify processes, and integrate into the reality of businesses.

Tools that people use, not demos.

2015: Panipro and Business Software

In 2015, I joined the Panipro team, specialized in developing software solutions for the food sector. Today, I’m a partner there.

We develop tools used daily by artisans, producers, and food businesses: a demanding, very concrete environment, where software must be reliable, precise, and pragmatic.

2020: QR Pay and Product Entrepreneurship

In parallel, in 2020, I founded QR Pay. The objective is clear: facilitate administrative management for Swiss freelancers and SMEs.

Invoicing, payments, automation, always with the same obsession: reduce friction and allow entrepreneurs to focus on their real business.

2022: The Encounter with Generative AI

In 2022, during an entrepreneur seminar in Paris, I discovered the public version of ChatGPT (3.5).

That evening, I spent a good part of the night exploring it. Very quickly, I understood that I wasn’t facing a gadget, but a tool that would profoundly transform my daily life as a developer.

I’m part of the Stack Overflow generation. Search, read, compare, adapt: sometimes for long minutes, even hours.

With ChatGPT, something changed radically:

Answers arrive faster
Context is understood
Exchanges become interactive

Naturally, I began integrating this type of tool into my daily work. Not to replace thinking, but to augment it.

And Now?

Today, one question naturally arises:

How is artificial intelligence transforming the developer profession?

Not in ten years. Not in theory. But here and now, in concrete products, used by real businesses.

This reflection brings me to what follows.

My Vision of the Developer Profession in the AI Era

Before 2022, I already had a fairly strong conviction: the developer profession was going to evolve.

Before Generative AI: The Developer as Integrator

For several years, we’ve been writing less and less code “from scratch”. The developer’s role is gradually shifting toward that of a software component integrator.

Backend, frontend, database, external services, APIs… The real challenge is no longer writing every line, but designing a coherent system, reliable and maintainable.

This is exactly the approach I’ve been using for a long time with frameworks like XAF, which already allow you to:

Quickly integrate numerous components
Automate a large part of the technical foundation
Focus on business logic, where value is created

AI only accelerates this trend.

With AI: Describing Intent Rather Than Syntax

AI tools go further. They allow you to formulate what you want to achieve, without necessarily knowing by heart the syntax of a language or the details of an API.

We’re approaching a new paradigm:

explain business rules, describe expected behavior, then guide the tool so it implements the solution.

But be careful: this promise only works if you truly understand what you’re doing.

Is the Developer Profession Still a Profession of the Future?

My answer is clear: yes.

But not for the reasons we often hear.

The fundamental concepts of programming remain essential:

Understanding what a language is
Knowing how a compiler works
Understanding the basics of memory management
Understanding what happens “under the hood”
Knowing how to manage a database

It was during my engineering studies that I truly acquired this understanding. And even today, it’s indispensable.

Generative AI tools can accelerate code writing. But they don’t replace understanding.

Without this foundation, it becomes very difficult to:

Correctly guide AI
Detect when it’s heading in the wrong direction
Produce reliable software, ready for production

When I Use AI and When I Don’t

In my daily routine, I use AI in a targeted way.

It performs well for:

Testing a new technology
Quickly creating a prototype
Exploring several possible solutions
Avoiding blank page syndrome

On the other hand, for legacy projects, already in production with hundreds of clients, caution is essential.

You can’t simply:

let AI generate code and hope everything will work correctly.

In these contexts, best practices remain unavoidable:

Automated tests (TDD)
Continuous integration (CI)
Controlled deployment (CD)
Code reviews and human understanding

AI then becomes an assistant, not an autopilot.

The “Vibe-Coding” Phenomenon

A positive effect of AI is opening software development to non-developers.

Today, it’s possible to:

Create a simple application
Automate a personal need
Experiment without mastering a programming language

This is excellent for understanding how software works and bringing ideas to life.

But here again, a limit appears. Creating an application quickly is one thing. Creating robust, maintainable software capable of evolving for decades is another.

Without mastery of fundamental concepts, “vibe-coding” quickly reaches its limits.

On my site, I share:

My vision of the developer profession in the AI era
How I concretely use these tools in my daily work
The products and features I develop thanks to them
What works and what doesn’t work

Just field feedback, from the ground, and honest reflection on the future of software.

If these topics interest you, I regularly share my thoughts, experiments, and projects.

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