Will development roles be replaced by Vibecoding and GenAI?

I believe development roles will evolve but not disappear or get fully substituted by GenAI / vibecoding. The rol of the developer will be much more strategic than executional and the new technologies will help them produce more

So I'm vibe-coding a tool right now, and I do admit that GenAI and “vibecoding” are changing how we build software, but I don’t see them replacing actual developers anytime soon.
Sure, AI can whip up plenty of code from prompts, but as soon as the project needs real context, creative problem solving, or handling weird edge cases, people are still essential. The biggest value devs bring now is turning business needs into working solutions, asking smart questions, and seeing issues that AI misses.
If anything, these tools let us skip more of the repetitive parts and focus on the tougher, more meaningful work. So, not “just a vibe”, you still need the human behind the code imo.

I remember a few years ago, everyone said that AI will never replace writers. Freelance writers, copywriters, etc. are totally safe, they have creativity and human touch! Then, of course, we all know what happened. 90%+ of freelance writer jobs are just gone. AI will keep getting better, and the entry-level dev market is cooked already.

As a founder, the reality is in between where there is a must requirement to leverage AI.

Those who adapt accordingly will become more valuable, since why pay $40k to $100k to multiple employees to write standard coding languages as per diversified campaigns' needs, respectively, when that can be done with AI assistance from many current planning and controlling tools for coding with coding software.

The main left perspective is creativity, business, and project context understanding, the ability to create technical solutions to real-world tech problems as per the desired thought of client.

For that, the hiring has become more restrictive towards productive and visionary devs and the only reason is AI-augmented coding.

That’s a great question! While generative models are getting impressive at creating front-end code or even full-stack prototypes, replacing development roles entirely isn’t straightforward. Several factors come into play:

1. Complexity of Requirements

Models excel at generating code for well-defined, simple tasks but often struggle with ambiguous requirements or unique edge cases. Humans bring the ability to interpret business needs, negotiate trade-offs, and design solutions that align with long-term goals.

2. System Architecture & Scalability

Building robust, scalable, and secure architectures requires deep reasoning, domain knowledge, and foresight—areas where AI still lacks strategic thinking.

3. Debugging & Problem-Solving

AI can generate code but isn’t always great at debugging tricky bugs or adapting to unexpected real-world behavior. Humans excel at diagnosing complex issues that go beyond syntax errors.

4. Ethical & Creative Decision-Making

Humans can judge the social, ethical, and user-experience implications of a feature. AI lacks context to decide what’s right for the end-user beyond the code itself.

5. Collaboration & Innovation

Tech development is rarely about just writing code—it’s about understanding users, brainstorming new ideas, and innovating in ways that aren’t purely data-driven.

Our added value as humans?

We provide judgment, creativity, empathy, and problem-solving abilities that AI can’t replicate. Think of generative models as powerful assistants that speed up repetitive coding, allowing developers to focus on higher-level architecture, UX, and innovation.

Would you like me to draft a short, powerful reply summarizing this in 3-4 sentences for a discussion post?

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It won't make all coders obsolete, but it'll thin the ranks and change the game - when code's cheap, it's all about the talk.