Navigating the Vibe Coding Era as a Developer
Ever had that moment of pure revelation while scrolling through survey results? 🤓 Well, I sure did! The Stack Overflow Developer Survey 2025 caught my eye, especially the juicy tidbits about developers' trust in the accuracy of AI tools.

Here's the kicker: more developers don’t trust AI tools than trust them, and frankly, that’s a good sign (looking at you, 3% who trust AI without question). Let’s dive into the implications! 🌊
Developers and Libraries
A little while back, I wrote a piece pondering whether using frameworks exempts developers from understanding the nitty-gritty of the underlying tech. Drawing on Robert M. Pirsig's masterpiece, Zen and the Art of Motorcycle Maintenance, I classified developers into three categories:
- Classic Developers: The curious ones who tinker and dig deep into how tools function. You might call them hackers (in the good way!). 🛠️
- Romantic Developers: The users who achieve results with minimal interest in the workings of the tools. They care about the 'how' but not how the sausage is made. 🧑‍🍳
- Pragmatic Developers: The balancing act! They use libraries but understand their architecture and can get technical if needed. 🎓
Reflecting on AI trust, it’s clear: classic developers are skeptical, pragmatic developers trust to a point, and romantic developers are riding the wave of blind faith.
Towards a New Way of Being Developers?
With the rise of vibe coding, a new romanticism in software seems to flourish, filled with excitement. But wait, if developers often produce dodgy code, how can we trust AI-generated code? Spoiler alert: we shouldn't. đźš«
So, do we ditch AI? Absolutely not! They enhance code quality far more than they speed up production. But let’s not become romantic developers dazzled by what’s shiny and new. Verify that generated code accomplishes what we need. If you can dive deeper to understand how it works, even better! 💡
The reality? Your job isn’t just to write code; it’s to deliver reliable solutions. As a vibe coder, you’re responsible for validating AI’s output—you’ve got to ensure it behaves as it should and tweak it when necessary. Remember, with great power (or AI tools) comes great responsibility! 💪
The Developer is Dead. Long Live the Developer!
For those predicting that AI will replace developers, you might not be wrong. In a few years (or months!), the traditional notion of developers might fade. 📉
What might rise from the ashes? Roles like “code manager” or “coded solution provider” could define the future. Yet, there will always be a need for savvy technical skills to vet AI-generated code.
We can't afford to be naive developers who trust AI output blindly. Professionals must question everything. After all, the age-old axiom still reigns supreme: “Trust, but verify.” 🔍
Final Thoughts
Our approach must shift; technology will evolve, but our critical thinking and responsibility remain constants. So, stay curious and vigilant. Understanding the code is your safeguard against the chaos AI might introduce. Keep your learning hat on and let’s embrace this vibe coding era—just with a discerning eye and a pragmatic lens!
This guide shuffles through the waves of modern programming life. Whether you're a classic hackster, a romantic idealist, or a pragmatic soul, the road ahead ensures each developer has a crucial role in shaping the future of coding. So, let’s prepare for what lies ahead and adapt—because the only constant in tech is change! 🔄