Trust Is Good, Not Trusting Is Better: What We Can Learn from the Baudr Case

The Baudr case shows the gap between a prototype that works and a system that is secure and scalable. Possible issues around security and data handling emerged in the case, a risk that concerns anyone who builds software with AI and opens it to real users.

In recent months vibe coding has become one of the most significant trends in software development. With artificial intelligence, an idea can be turned into a digital product very quickly, even without advanced technical skills. Development becomes more accessible, faster and more experimental, and new complexities arrive along with the opportunities.

What vibe coding has changed in software development

The most positive side of vibe coding is that software development opens up to everyone: anyone with an idea can turn it into a working prototype in a short time.

How software development worked in the past

• Structured teams with specialised roles
• High upfront investment
• Technical skills spread across several people

What has changed with AI

• Rapid creation of digital prototypes
• Immediate market testing of ideas
• Lower upfront development costs
• Fast iteration based on feedback

This scenario encourages grassroots innovation: even a single person can experiment and create digital products, with low barriers to entry.

Why an app that works is not yet ready for production

Vibe coding can create a false sense of security and control. An app that works on screen can still be far from a production-ready system, which must include:

• Secure access management
• Protection of sensitive data
• A solid server-side architecture
• Vulnerability monitoring

The Baudr case shows exactly this gap between a working prototype and a secure, scalable system.

When a prototype becomes a real risk

As you move from prototype to real product, responsibilities grow.

When the risks increase

• Access by real users
• Collection of personal data
• Putting the platform online

The main critical issues

• Unauthorised access
• Exposure of sensitive information
• Loss of control over the system

Once a system goes into production, even small mistakes can become serious problems.

What obligations the GDPR places on small projects too

Even small or independent projects must follow precise rules when they process users’ data, starting with the GDPR. Handling personal data and complying with regulations are among the most delicate aspects of development today.

In the Baudr case, possible issues emerged precisely around security and data handling, an aspect that is often underestimated.

Even a small project has significant legal obligations.

What skills a serious digital product needs

Vibe coding gives the impression that you can build everything on your own, but software development is more complex. A serious digital product requires skills in several areas:

• System architecture
• Cybersecurity
• Data management
• Legal and regulatory aspects

If even one of these is missing, the whole project can become unstable or risky.

What professional support adds

Technical experience covers what personal initiative, on its own, does not see. Working with professionals makes it possible to:

• Identify vulnerabilities before launch
• Design a solid, scalable architecture
• Ensure regulatory compliance
• Reduce technical and legal risks

Artificial intelligence makes these needs more important, because it speeds up the whole process.

How software development will change with AI

More than a failure, the Baudr case is a clear signal. Development will be:

• more accessible thanks to AI
• faster at prototyping
• more focused on experimentation

And at the same time:

• more technically complex
• more regulated
• more dependent on specialist skills

AI speeds up creation, while the complexity of real-world systems remains.

What the Baudr case teaches

Turning an idea into a digital product is easier today, but the process is still complex and has its risks. When you move from a prototype to a real product, technical and legal responsibilities come into play that cannot be ignored.

Professional support is what makes innovation secure, scalable and sustainable over time.