Using artificial intelligence to write code is not a problem. In fact, it’s almost inevitable. Tools evolved quickly, became accessible, and today they’re part of the software development workflow. The problem starts when the code stops being understood and becomes something that is only generated.
Code without understanding is risky
When you use AI without technical judgment, something dangerous happens:
- ►It compiles;
- ►It works;
- ►It delivers the expected result;
The code looks correct. But that doesn’t mean it actually is.
Without understanding, you stop knowing important things:
- ►why something works;
- ►where it can break;
- ►what happens when the system grows;
And this type of problem doesn’t show up immediately. It shows up later.
The problem scales with the system
At first, everything seems under control. But as the system evolves, new rules are added, more users arrive, integrations increase, and so on. And then what seemed to work starts to fail.
- ►Bugs that are hard to trace;
- ►Unexpected behaviors;
- ►Code nobody fully understands;
At that point, the cost has already increased significantly.
The invisible cost
When a system breaks due to lack of technical judgment, the impact isn’t only technical. It becomes wasted time, money spent on rework, delays in the product, and decisions limited by the system itself. In some cases, it reaches the most critical point: rebuilding entire parts of the system.
AI accelerates, including mistakes
Artificial intelligence is a powerful tool that accelerates development, increases productivity, and helps explore solutions. But it does not replace engineering.
Without a technical foundation, it doesn’t solve the problem. It only helps you reach it faster.
What really matters
At Pedreiros de Bit, we use AI. But with one clear principle:
AI is a tool, not a shortcut.
That means:
- ►validating what is generated;
- ►understanding the impact of decisions;
- ►ensuring consistency across the system;
- ►maintaining control over the architecture;
In the end, AI is not the problem. The problem is giving up understanding because, deep down, software is still the same:
those who don’t understand what they build
don’t control what happens later
And that’s exactly why technical judgment still matters.
That’s how we work.
