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Key Takeaways
Vibe-coding software using LLM tools may accelerate development, but it’s inherently insecure. In this article, we examine the technical and security issues prevalent in many AI-generated code, and explain why it’s safer — and more economical — to opt for expertly built SaaS digital workplace solutions instead.
An AI-powered digital workplace employees love
“Vibe-coding” is the latest AI trend to sweep the tech landscape.
The concept is simple but impressive. Using AI coding tools like Claude, businesses can build custom software — such as intranets, CRMs, and digital workplaces — independently and at an unprecedented speed. There’s no need for any contract signing or monthly or annual payments. The costs are minimal, and the software belongs to you.
It all sounds great in theory. But, if you scratch beneath the surface, you’ll find that the reality of vibe-coding is much more sinister.
In this article, we explain why attempting to build your own digital workplace with AI is a massive operational risk, and why mature SaaS is more valuable than ever.
The illusion of the AI-generated digital workplace
We get it. On day 1, your vibe-coded digital workplace looks amazing. AI was able to build a completely custom software based on your carefully crafted prompts — all within a seriously short timeframe. That in itself is a miracle.
But as day 1 rolls into day 50, cracks begin to appear. By the time you reach day 100, your vibe-coded dream morphs into an inescapable nightmare.
While AI may be able to generate code confidently, it cannot handle (or even understand) the underlying context behind that code. It lacks the depth of knowledge surrounding architecture, governance, and compliance that human developers have. Without carefully scanning and reviewing your AI-generated digital workplace for vulnerabilities, you open yourself up to a swathe of security risks.
But don’t just take our word for it.
A recent investigation by Escape revealed that 60% of all analyzed vibe-coded applications have vulnerabilities, with 48% containing at least one bug that could lead to malicious exploitation.
Across the 14,600 assets tested, the Escape team unearthed over 34,000 vulnerabilities and 400 instances of leaked secrets (including GitHub token leaks, exposed PII, and plain text passwords).
Think of all the sensitive information stored within your digital workplace solution, from financial data to personal staff details, passwords, and HR documents. In a vibe-coded environment, all of this PII is at risk.
5 hidden costs of custom software in the AI era
Vibe-coded software may have very few expenses initially, but the costs soon mount up – and they’re not all financial.
Here are some of the biggest “hidden” costs you may encounter:
1. Ongoing maintenance considerations
Whether it’s human-crafted or AI-generated, your code still needs to be hosted, patched, and updated on an ongoing basis. When APIs break or browsers update, operations will grind to a halt until someone can prompt the AI to fix it.
This leads us neatly onto the next hidden cost: the neverending cycle of breakages.
2. Snowballing code issues that AI can’t fix
At some stage, you’ll need to fix, edit, or add to your code.
The trouble with vibe-coded software, however, is that one alteration or fix can quickly lead to breakages in other areas of the code. This is because the AI only has the root code to work from — not your original instructions or carefully crafted prompts. While the code may make sense, it only explains the what and not the why.
Breakages accumulate as the months go on, leaving you with no choice but to painfully retrace your steps and try to work your way back to your original vision.
3. Security and permissions failures
According to CodeRabbit, AI code is 2.74x more likely to contain security issues than human-generated code, with insecure password handling sitting at the top of the vulnerabilities list.
Couple this with the “leaked secrets” problem we mentioned earlier, and it’s clear that vibe-coded software is a ticking timebomb as far as security and compliance are concerned.
A simple AI search tool, built in-house, could accidentally summarize your CEO’s private emails for the whole company to see. A rushed and poorly reviewed extranet could accidentally surface sensitive client information to your entire customer base. The possibilities are innumerable.
While it’s possible to implement automated security scans and employ human code reviewers, the acceleration of vibe-coded software has, by extension, led to an acceleration in bugs. Unless you’re able to vibe-code another team of developers, it’ll be difficult to keep on top of each one of them.
4. The loss of knowledge and expertise
When the single employee who vibe-coded the software leaves your business, they take all the preceding prompts, context, and source code knowledge with them. You’re left only with the arcane lines of code and an untangleable technical debt.
5. Feature stagnation
Mature SaaS platforms are forever evolving to meet industry trends, emerging best practices, and real-world user feedback.
A DIY system will only ever improve when your team finds the time to build new features. (Or when the backlog of internal requests or support tickets grows too large to ignore.) This means your software will become outdated faster than anticipated, resulting in frequent operational bottlenecks and disgruntled employees.
Why you can’t prompt 25 years of enterprise experience
Being able to write code is only a small part of the wider software development process. Some may even argue that it’s no longer the “hardest” part of the job. At its heart, software development requires deep understanding — not only of coding practices, governance, and security, but of human behaviors and specific industry needs.
At Claromentis, we bring over 25 years of architectural resilience and development expertise to the table.
Our digital workplace solution doesn’t just provide the operational functionality you need — it’s designed to solve the biggest issues facing your business today. Think stringent regulatory audits, multi-site performance management, data security, and brand consistency. All of these are issues that would break a surface-level LLM prototype in a single afternoon.
Features like Policy Manager, InfoCapture workflows, Locations dashboards, and our proprietary permissions matrix are the result of decades worth of real-world stress testing, not a lucky AI prompt. They’re sustainable, secure, and continuously refined to deliver the best results for our customers.
Thinking of replacing SaaS with AI? Think twice.
The “SaaS-pocalypse” has arrived, and the end is nigh for software vendors… Or, at least, that’s what the online town criers would have you believe.
The reality is, mature SaaS is here to stay. Why? Because vibe-coded software isn’t sustainable.
Don’t get us wrong, the ability to generate code and accelerate development is a huge advancement. In skilled hands, it can be an absolute game changer for prototyping and testing. But it is not a replacement for secure, enterprise-grade software, built by teams with extensive technical expertise and human understanding.
Putting all your faith in a fragile, vibe-coded prototype is a false economy. It may be able to handle your daily operations for a short period of time, but it cannot sustain them for months and years to come. Not to mention, it can quickly become a serious security and compliance threat.
It makes more economic sense to invest in a mature, secure, and supported software like Claromentis. Our digital workplace solution adapts to your specific needs, scales with your business, and allows your teams to focus on operational priorities — rather than picking apart and fixing botched AI code.
To learn more about our digital workplace and its suite of secure, AI-powered applications, head over to our extensive video library.
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