Why Vibe Coding Won T End Saas A New Perspective Briefly

Why Vibe Coding Won't Kill SaaS (And When to Build Anyway) The Ned Scenario: When "Just Build It" Becomes "Who's Maintaining This?" Stop me if you’ve heard this one: Guy gets on a soapbox and says, “SaaS? It’s DEAD! AI is the death knell for SaaS now that everyone can build a solution perfectly customized to their needs in 27 minutes flat.” True? Well, sort of. It’s possible to build a much-more-than-passable platform in a very short period with very little coding skill.

And yes, a lot of very successful SaaS apps are based largely on basic CRUD (create, read, update, delete) operations. But this thinking stops about three steps too soon. The build cost isn’t the real cost — it’s the owning that gets you. Let me show you what I mean. The Ned Scenario The sales team needs a CRM. Salesforce? Expensive and easy to be annoyed at. HubSpot? Maybe less often the butt of SaaS jokes, but nonetheless a monthly bill. So Ned in sales vibe codes a CRM. Boom!

Okay, now where does that CRM live? In Loveable? Replit? Let’s be generous and say Ned is a very tech-forward salesperson who figured out how to use an IDE and GitHub, so his CRM code is on Git and pushed out to Vercel, where it’s hosted with a SQL database. Even better, we’re really cooking now. Great work, Ned! Fast forward a week. Who’s maintaining this code? What about when Ned realizes that when he adds a new record, it’s not capturing the phone number field properly?

Is that Ned going back into the code? Is Ned now going cross-functional to tech to get this fix? How does tech feel about that? Who’s prioritizing that work? Better yet, what about three months later when Ned’s been out of the code for months — doing that thing, you know, sales, that brings money into the company — and he wants a new feature? Does he take the time to refamiliarize himself with the code and vibe his way through adding that in?

Or is he knocking on tech’s door again? Or a cross-functional PM who’s suddenly managing a torrent of company-wide vibe-dev that’s breaking, in need of feature dev, and has rapidly-building tech debt? Or how about when Carly, who sits across from Ned in the sales cluster, decides she needs something different in the CRM? Does she ask Ned to adapt his CRM to what she needs? Does she now vibe her own CRM? If she does, how does that work with Ned’s database?

What if Carly doesn’t like Vercel and wants an agent-based dev environment and has her CRM operate directly out of Replit? I think you get it. What the “AI Changes Everything” Crowd Misses Companies have been making buy-versus-build decisions for a very long time. The question has never been COULD you do it, but rather SHOULD you do it. And before anyone sharpens their knives: I’m pro-AI. I use it every day. It’s an incredible productivity amplifier and makes it extremely easy to code.

But being pro-AI doesn’t mean suspending operational reality. AI drastically lowers the barrier to building — but right now less so to running, securing, integrating, and maintaining. Those are still human problems, and they’re the expensive ones. When a salesperson or marketer is vibe coding an app, they’re not making sales or creating high-conversion ads. When a dev is fixing bugs on said app, that’s time, which is cost.

When a project manager is figuring out prioritization for various feature requests on various apps across departments — yes, once again, cost. The Operator’s Framework for Build vs. Buy Before you compare the subscription cost of a SaaS tool against “free” AI-assisted development, answer these four questions about your situation: How central is this app to your business operations? If it’s mission-critical or touches your competitive advantage, building your own might make sense. A logistics company might build custom routing software. But a custom expense tracker? Probably not.

How conventional or idiosyncratic is your business? If your workflows are truly out of the mainstream, mass-market SaaS may be a worse fit and building could be justified. Most businesses are more conventional than they think. What’s your resourcing? A company with a genuine, deep engineering bench — not just a couple of already-over-ticketed devs — can better absorb the ongoing cost of maintenance and iteration. Be honest here. How interconnected is the software in question?

If it needs to share data across multiple teams or systems, that’s a terrible candidate for homebrew. If it’s self-contained and team-specific, that’s a better bet. If you can’t check most of those boxes in favor of internal build with confidence, you’re probably better off buying, no matter how good AI-assisted development looks in the demo. The New Math To be sure, the equation has changed.

“How much does it cost?” for the SaaS app has mostly stayed the same (maybe gone up some?), while the cost of internal development has gone down. Down, not zero. Not nearly zero, but down. The result for most teams will be that some apps that previously didn’t quite meet the cost/value threshold for internal build now will. But for very many other apps, the tilt will still be in favor of buying. Not because the solution is perfect. Not because it’s always super cheap.

But because it’s the efficient choice that allows you to secure the functionality you need while not having to gum up your teams with code maintenance, bug fixes, and feature development for something that isn’t core to what you do. In other words, it’s what allows you to move fast doing what your company does best, rather than being constantly distracted managing support software internally. And yes, maybe at some point AI agents will handle all of that autonomously — versioning, testing, compliance, integration, the lot.

But even then, you’ll still have to manage the coordination: who owns what, how updates propagate, who approves changes. Operational complexity doesn’t vanish just because the code writes itself. The Bottom Line Free lunches? Sure, I had one once — I got a Jersey Mike’s free sub from a 5k race I ran. But vibe coding SaaS? That’s not it. AI may indeed be rewriting the cost curve, but it hasn’t rewritten the laws of operations. The real cost of software isn’t in building it — it’s in owning it.

This article comes at the perfect time. Your analysis of owning costs resonates, like long-term Pilates comitment.

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