In recent months, a case caught attention in Brazil.
A digital creator, Rodrigo Abraham, showed how he built a system almost entirely on his own using artificial intelligence.
The result?
Around R$200,000 in revenue in a short period
A product quickly validated
And a message that went viral:
“anyone can do this today”
But what happened next raised an important warning.
It only took minutes
As soon as the project gained visibility, experienced developers began analyzing the system.
And within minutes…
Critical flaws started to appear:
- Sensitive data exposed
- Possible unauthorized access to users
- Lack of endpoint validation
- Missing basic security layers
The kind of issues that don’t show up when everything is “working”…
but become obvious to those who know where to look.
The dangerous myth: “you don’t need to know how to code anymore”
Artificial intelligence has completely changed the game.
Today, anyone can:
- Build a website
- Launch a system
- Integrate payments
- Automate processes
All of this in days — or even hours.
But here’s what most people don’t talk about:
Making it work does not mean making it secure.
The invisible risk (until it’s too late)
Now imagine this happening to your business:
You launch your system.
Users start signing up.
Data begins to accumulate.
Everything seems perfect.
Until…
An attacker finds a simple vulnerability
Accesses your database
Downloads your users’ information
And that’s it.
You don’t just have a technical problem.
You now have a legal, financial, and reputational crisis.
The cost of an “invisible” mistake
In Europe, under the GDPR:
- Fines can reach up to €20 million
- Or up to 4% of annual global revenue
In Brazil, under the Lei Geral de Proteção de Dados:
- Fines up to R$50 million per violation
- Data blocking or deletion
- Legal action from affected users
And the worst part:
Loss of customer trust
And that’s something no fine can fix.
The real problem is not AI
AI is an incredible tool.
It:
Speeds up development
Reduces costs
Boosts productivity
But it does not:
Guarantee security
Understand full context
Take responsibility
That responsibility still belongs to the developer.
What’s happening in the market
Right now, there are two dangerous extremes:
- Those who ignore AI
They become slower and less competitive - Those who rely entirely on AI
They deliver fragile, insecure systems
The real advantage lies in the balance between both.
How kaueramone.dev does it differently
At kaueramone.dev, we don’t choose between speed and security.
We build with both.
AI as an ally
We use AI to accelerate development
Experience as a foundation
Everything is reviewed by professionals who understand architecture and security
Security from day one
It’s not an afterthought — it’s part of the foundation
In practice, this means:
- No exposure of sensitive keys
- Proper environment separation (dev / staging / production)
- Strong authentication and authorization
- Encryption of critical data
- Code review (including AI-generated code)
- Continuous monitoring for vulnerabilities
Nothing goes live without meeting strict security standards.
A cheap system can become very expensive
Today, it’s easy to find someone who can “build fast and cheap.”
What’s not included in that offer:
- Legal risks
- Data breaches
- Rework costs
- Loss of customers
And those costs show up later.
What you should demand before hiring anyone
Even if you don’t work with us, ask:
- How is user data protected?
- Where are credentials stored?
- Is encryption implemented?
- Does the system comply with GDPR/LGPD?
- Who reviews AI-generated code?
If there are no clear answers…
That’s already a red flag.
Conclusion
AI has opened incredible doors.
But it has also created a new kind of risk:
systems that work… but aren’t secure
This recent case made that very clear.
It’s not about moving faster.
It’s about moving in the right direction.
If you want to build something solid
If your goal is to grow safely, without future headaches:
do it right from the start
At kaueramone.dev, we deliver speed with responsibility.
And that makes all the difference when your system starts to scale.
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