A new phrase is spreading through developer communities and startup forums: "vibe coding". It sounds casual, even playful. For those building websites or applications, business owners, freelancers, and agencies alike, this situation presents some real challenges.
Is vibe coding a legitimate way to work? Can it produce secure, reliable results? Or does it create hidden risks, technical debt, security gaps, and data exposure that only appear later?
This is not a critique of AI. AI tools are powerful. But using them without structure creates hidden data risks that can be used against you.
What Is Vibe Coding?
The term vibe coding was introduced to refer to an informal way of developing software that depends entirely on artificial intelligence. Developers use natural language to convey their intentions instead of coding each part manually.
You see a lot of developers reaching for tools like ChatGPT, Claude, GitHub Copilot, or Cursor these days. They let the AI spit out some code, give it a quick spin, tweak a thing or two, and boom they’re moving fast.
People call this approach the “vibe.” It’s all about letting things flow, not getting bogged down in details, and just keeping up the pace. You trust your gut, don’t overthink it, and value speed over sticking to every rule in the book.
Honestly, a little vibe coding isn’t a bad thing, it’s just the new way to prototype. But things get messy if you treat “vibes” as your main strategy for real, production-level websites or business apps. You run into trouble, especially with data hiding under the surface. That’s where the cracks start to show.
How It Works
A typical vibe coding session looks like this:
1. The developer releases an editor driven by AI.
2. They type in "Build a contact form that stores submissions to a database."
3. The AI produces backend code, HTML, and CSS.
4. The developer pastes it into their project.
5. It seems to work. They move to the next feature.
No code review. No security audit. No thought about where data is stored, who can access it, or how long it remains.
The AI is not malicious. But it does not know your business context, your compliance requirements, or your customers’ privacy expectations. It creates effective code, not always secure code.
Real-World Examples
E commerce Website
A startup founder uses vibe coding to add a quick discount feature to their Shopify or WooCommerce store. The AI generates custom code that stores temporary discount codes in a plain text file inside the website folder. That file is publicly accessible. Anyone who finds it can generate unlimited discounts—or download customer session data also written to the same file.
SaaS Platform
A SaaS startup develops an admin dashboard for their application using vibe coding technology. The AI generates a debug endpoint where all API calls including the tokens used for user session authentication are recorded. The developer does not disable this debug endpoint prior to the app's release. An attacker discovers it and steals active tokens, compromising the accounts of paying customers.
Small Business Website
A local business engages a solo developer who only codes in vibe to create a web booking service for them. The system was developed quickly and inexpensively. However, the AI stored all phone numbers and appointments in an insecure database, lacking any form of access control. As a result, a simple SQL injection exploit allows the theft of all customer records.
Independent Contractor or Agency
AI is used by a freelance programmer to create ten websites for customers. Because the developer doesn't consistently supply backups, they end up in varied states on the websites of various clients. Backup files with details on every customer order are located on one of the websites.
Risks & Concerns
When actual customer data is used on business websites, vibe coding becomes problematic.
This is where things get dangerous:
Hidden data can slip through: AI-generated code often leaves behind stuff like log files, backups, or debug info in places most folks forget to check. If developers don’t catch these, pretty much anyone can stumble across sensitive information.
Zero built-in security: AI learns from code it finds online, including all the bad habits. It won’t flag things like SQL injection risks, exposed environment variables, or missing authentication checks.
Technical debt builds up fast: Moving swiftly is the main goal of vibe coding, not laying a solid foundation. Before long, you end up with code that’s confusing, tough to review, and even tougher to keep secure. Hidden data accumulates in forgotten corners.
Compliance becomes impossible: GDPR and US privacy laws require knowing what data you store, where, and for how long. A vibe-coded project with no documentation cannot meet these requirements.
False confidence: The code looks like it works. It runs without errors. That does not mean it is safe. Many business owners only discover the problems after a breach.
Practical Tips (Using AI Safely)
You do not need to abandon AI tools. You do need to use them with discipline. Here is how:
1. Treat AI as a junior assistant, not an expert
AI generates suggestions. You are responsible for reviewing, testing, and securing them. Never deploy AI-generated code without a manual check.
2. Audit what the AI creates
Ask specifically: “Where does this code store data? Is it logged? Is it encrypted? Who can access it?” If the AI cannot answer, you must investigate manually.
3. If you're using WordPress, use built-in scanner plugins like Wordfence or Semgrep or Snyk. They will assist you in identifying typical security threats before they become serious problems.
4. Maintain a clear division between production and prototyping
For concepts, mockups, and individual experiments, vibe coding is acceptable. Make the transition to disciplined development with code reviews and security testing for live company websites that handle consumer data.
5. Record the actions of your code
Note what information is kept, where it is kept, how long it is kept there, and who has access to it. This gives you operational and legal protection.
6. When feasible, make use of managed platforms
Use well-known platforms, plugins, or security-audited services rather than vibe-coding a unique solution. Although they are not flawless, they are more secure than one-time AI-generated code.
7. Get a second pair of eyes
If you are not a security professional, have someone review your site, especially if AI was involved in building it. A fresh perspective finds hidden issues.
Why It Matters
Businesses in the United States, United Kingdom, Germany, and the Netherlands operate under clear privacy expectations. Customers trust you with their information. Regulators enforce that trust.
Vibe coding does not exempt you from responsibility. If your AI-generated code leaks customer data, you are still liable. The fact that “an AI wrote it” is not a legal defense.
In Europe, GDPR requires data protection by design and by default. That means you must actively build security into your systems, not hope the AI did it for you.
In the US, state privacy laws and FTC expectations hold businesses accountable for reasonable security practices. Deploying un-reviewed AI code without testing is unlikely to be considered reasonable.
Hidden data from vibe-coded projects is a growing problem. Most business owners do not know it is there until it is too late.
Is Your Website Built on Unreviewed AI Code?
There is nothing wrong with using AI to work faster. Many successful businesses do.
But if AI-generated code is running on your live website, handling customer names, emails, orders, or messages, it deserves a review.
We offer straightforward website security assessments for businesses. No judgment. No pressure. Just a clear look at what your site is storing and whether it is protected.
Learn more about our security review
Key Takeaways
1. Vibe coding is the process of developing software with significant AI support, putting intuition and speed ahead of rigorous discipline.
2. It poses concerns for active company websites, but it works great for prototypes and personal projects.
3. Common issues include insecure debug endpoints, exposed backups, concealed logs, and missing authentication.
4. Code produced by AI is not always safe. Every line that is deployed is still your responsibility.
5. Easy actions that drastically lower risk includes code reviews, security scans, and data storage documentation.
6. Whether or not AI assisted in the creation of your website, privacy regulations in the US and Europe are applicable.
