Code is Dead

We’ve spent far too long obsessed with making code look "pretty." We’ve convinced ourselves we’re some kind of digital artisans, carving out algorithms in private workshops, wasting hours debating whether a function is "elegant" or if our Clean Code is pure enough. It’s a comfortable narrative, but it’s a lie. Code isn't a work of art to be contemplated; it’s an expense, it’s potential technical debt, and above all, it’s a simple means to an end.

This veil of "software craftsmanship" has only served to hide our lack of professional maturity. We treat TDD or hexagonal architectures like religions, when in reality, they’re nothing more than basic hygiene. A civil engineer doesn’t go around bragging that their bridge uses high-quality concrete; it’s a given. If your code is flawless but arrives late, goes over budget, or fails to solve the actual problem for the person paying the bill, your "art" is worthless.

Being a software engineer isn’t about writing lines of text. It’s about solving problems under pressure and within constraints: time, money, security. The real work happens in the analysis, in the infrastructure planning, and in the communication with the people who expect results—not in wrestling with syntax.

Writing code is the most mundane part of our day—the phase where you actually get your hands dirty. If we aren't capable of looking past the screen to understand that our responsibility is the entire lifecycle of the solution, we’ll remain nothing more than keyboard operators with delusions of being poets. It’s time to stop chasing beauty and start chasing efficiency. AI isn’t here to take our place; it’s here to take away the excuse that "cranking out code" is the most important thing we do.

In any other engineering field, ignoring a technology that makes you ten times more precise would be considered professional negligence. No one would hire an engineer who skips structural calculation software because they prefer the "charm" of the slide rule. Yet, in this industry, we still allow ourselves the luxury of debating whether using AI is "cheating." It’s quite simply a lack of vision.

As engineers, mastering our tools isn’t a hobby for enthusiasts; it’s the job. Sticking to a specific technology out of pure comfort or misplaced "loyalty" isn’t being professional—it’s being a piece of furniture. A real professional doesn’t marry the hammer; they commit to making sure the building doesn’t fall down. If a tool exists today that can audit thousands of lines in seconds or spot flaws you’d miss, you use it. Period.

But beware: using AI to vomit out mediocre code faster doesn’t make you better. That’s for people who just want to clock out. An engineer uses it to raise the bar, to reach levels of robustness that were previously impossible due to time constraints. AI isn't there to stop you from thinking; it’s there to stop you from wasting time on the trivial so you can focus on the difficult. Anyone who doesn’t understand that this must change their way of working will end up as irrelevant as the person who refused to understand electricity.

Now the industry will try to give us new names: "solution architects," "prompt engineers"... empty labels meant to sound modern. We don’t need a new name; we need to live up to the one we already have, with all its consequences. The role isn’t disappearing; it’s just trimming the fat.

If code is no longer the bottleneck, you have nowhere left to hide. The engineer must be responsible for the entire system, from analysis to maintenance, with the same intensity they used to bring to fighting a compiler. The days of "it works on my machine" are over. You now have the tools to control the process from start to finish, so do it.

This is no longer about who has the best memory for APIs. It’s about judgment. AI runs fast, but it has no idea why it does what it does, nor how things break in the real world. Being a flexible engineer isn't about knowing how to use the latest language model; it's about knowing when that technology is the right piece of the puzzle and when it’s just noise.

The future doesn’t belong to those clinging to a programming language like a life raft. It belongs to those who understand that their real tool is abstraction and risk management. We aren’t artists, and we aren’t cloud orchestrators. We are engineers. And our job remains the same: take a complex problem and build the most solid solution possible. Only now, finally, we have the tools to stop playing keyboard poets.

exit(0);