Vibe Coding

AI has already transformed the landscape of software engineering. Not just coding, and that distinction matters. While it's easy to get models to write code, software engineering is a different challenge. It depends heavily on the person guiding the AI model.

Ideally, in the future, software engineers won’t need to write code or worry about design patterns. But for now, it's still our job to ensure the architecture and codebase remain clean, maintainable, and understandable, especially for other engineers.

That’s where "vibe coding" becomes a problem. Less experienced developers can now use AI to build complex systems they don’t fully grasp themselves. We’re not yet at a point where we can hand off full responsibility to machines. Even when we get there, skilled engineers will still be essential to steer the models toward robust and reliable solutions.

At Pale Blue, we actively use AI to improve efficiency and explore new ideas. But we follow a simple rule: never commit code you don’t understand.

To me, vibe coding begins when you trust the AI model to write, test, and debug code you can’t explain — and that’s a slippery slope.