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There’s a scene in The Batman—you know the one. Bruce, rain-soaked and brooding, watches Gotham unravel while Nirvana’s “Something in the Way” drones on. It’s a perfect metaphor for the way we feel about AI in software development right now.
Something’s coming. Something is already here.
And honestly? It feels different this time.
I’ve been around long enough to see programming “die” over and over again. Assembly killed machine code. C killed assembly. JavaScript and Python killed the need for memory management. Frameworks abstracted entire stacks. Low-code tools let non-devs do what once required a CS degree. Each time, programmers adapted, the industry expanded, and demand grew.
But this time, it’s not just abstraction. It’s automation.
The Rise of Vibe Coding
AI-generated code isn’t new, but Large Language Models (LLMs) have made it so effortless that we’ve hit a breaking point. What was once a niche productivity boost is now something else entirely. We used to call it CHOP (Chat-Oriented Programming), but the internet has already given it a more fitting name: Vibe Coding.
Why struggle with syntax when you can just… describe what you want?
Vibe Coding means that non-programmers can build things that, a year ago, required skilled developers. It means that entire classes of programming work—CRUD apps, integrations, even bug fixing—are now something AI can handle in seconds. Sure, it’s messy, sure, it’s not perfect, but it doesn’t have to be.
And that’s the part that makes people nervous.
Because if AI can generate a working prototype in seconds, what happens to all the devs who spent years honing their skills to do the same thing?
The Changing Role of the Developer
This is where the old “AI won’t replace programmers, programmers who use AI will” cliché comes in. But let’s be real: some programmers will absolutely get replaced.
Not because AI is perfect, but because some companies don’t care about perfect. They care about fast, cheap, and good enough.
But that’s not the whole picture.
The reality is, not every company has the same priorities. There are startups running on fumes, agencies that need to pump out MVPs, and massive enterprises that optimize for stability over speed. AI is already disrupting parts of the industry where velocity is valued over craftsmanship—but in places where performance, security, and maintainability matter, human developers are still indispensable.
The difference is where and how we bring value.
If all you’re doing is churning out basic, repetitive code, yeah—you should be worried. But programming isn’t just about writing code. It never has been. It’s about understanding problems, designing architectures, making trade-offs, and knowing how to glue everything together into something that actually works.
AI is just another tool. It’s an insanely powerful one, but it’s still just a tool. The best programmers will adapt—not by writing less code, but by focusing on better code, bigger problems, and smarter solutions.
Something’s coming. Something is already here.
And honestly? It feels different this time.
I’ve been around long enough to see programming “die” over and over again. Assembly killed machine code. C killed assembly. JavaScript and Python killed the need for memory management. Frameworks abstracted entire stacks. Low-code tools let non-devs do what once required a CS degree. Each time, programmers adapted, the industry expanded, and demand grew.
But this time, it’s not just abstraction. It’s automation.
The Rise of Vibe Coding
AI-generated code isn’t new, but Large Language Models (LLMs) have made it so effortless that we’ve hit a breaking point. What was once a niche productivity boost is now something else entirely. We used to call it CHOP (Chat-Oriented Programming), but the internet has already given it a more fitting name: Vibe Coding.
Why struggle with syntax when you can just… describe what you want?
Vibe Coding means that non-programmers can build things that, a year ago, required skilled developers. It means that entire classes of programming work—CRUD apps, integrations, even bug fixing—are now something AI can handle in seconds. Sure, it’s messy, sure, it’s not perfect, but it doesn’t have to be.
And that’s the part that makes people nervous.
Because if AI can generate a working prototype in seconds, what happens to all the devs who spent years honing their skills to do the same thing?
The Changing Role of the Developer
This is where the old “AI won’t replace programmers, programmers who use AI will” cliché comes in. But let’s be real: some programmers will absolutely get replaced.
Not because AI is perfect, but because some companies don’t care about perfect. They care about fast, cheap, and good enough.
But that’s not the whole picture.
The reality is, not every company has the same priorities. There are startups running on fumes, agencies that need to pump out MVPs, and massive enterprises that optimize for stability over speed. AI is already disrupting parts of the industry where velocity is valued over craftsmanship—but in places where performance, security, and maintainability matter, human developers are still indispensable.
The difference is where and how we bring value.
If all you’re doing is churning out basic, repetitive code, yeah—you should be worried. But programming isn’t just about writing code. It never has been. It’s about understanding problems, designing architectures, making trade-offs, and knowing how to glue everything together into something that actually works.
AI is just another tool. It’s an insanely powerful one, but it’s still just a tool. The best programmers will adapt—not by writing less code, but by focusing on better code, bigger problems, and smarter solutions.