Vibe Coding Fails Without Context and Expertise

Follow me on LinkedIn - AI, GA4, BigQuery

When I started vibe coding, I had my doubts. My prompts often won't work. There was no structure in place. And the people around me often dismiss my work.

I have been vibe coding for over a year, before it even had a name and have now perfected it to the point where it is now classed as DSL (Domain Specific Language) by ChatGPT for guiding AI Systems in generating SQL queries from plain text.

I now teach Vibe Coding for GA4 BigQuery SQL generation to hundreds of students. This isn’t theory I picked up somewhere, it’s hands-on practice, refined through real-world use.

I am not just using Vibe Coding. I have codified it into a language that works consistently for me and for hundreds of others.

I understand it’s a big claim, and I can spend all day convincing you. But the proof is in the pudding.

Wait! What is Vibe Coding?

Vibe Coding is prompt-driven coding. Instead of writing code manually, you describe what you want the code to do in plain language.

Humans describe vibes (intentions) and AI writes the code.

The role of the developer becomes more about guiding, reviewing, and iterating than hand-coding.

Did you hear the word ‘developer’?

If you don’t have a developing background (domain expertise), vibe coding is not meant for you.

May be you have a developing background, but you still struggle with vibe coding. Then it's down to poor prompting skills.

For example, you may have 100 years of experience in Software Engineering. But that does not automatically make you a good vibe coder.

Vibe coding is the practice of crafting structured and precise text-based instructions to guide AI models like ChatGPT in generating accurate and optimised code.

AI is only as good as your input.

The AI you use can not magically produce the desired outcome regardless of advancements in technology if it does not understand what results you are after or if your input is vague, ambiguous or lacks context.

AI systems process text or data literally.

Unlike human communication, where context, past experience and intuition can fill in gaps, AI systems process text or data literally.

They don’t guess or think like humans. They don’t reason about missing details.

They ‘predict’ responses based on your input.

AI doesn’t inherently "know" what you want.

It’s working within the bounds of the information it’s given.

If your input doesn’t articulate a clear intent or goal, the AI can only produce generic or misaligned results.

Vibe Coding Requires Domain Expertise.

Effective vibe coding goes beyond basic instructions. It requires a deep understanding of the specific domain.

This is because AI tools lack contextual awareness and rely heavily on your input.

For example,

AI tools (like ‘ChatGPT’) do not fully understand the GA4 BigQuery Schema, custom dimensions, or event structures. They rely entirely on explicit input from the user.

AI tools often lack knowledge of the underlying logic for calculating specific GA4 dimensions and metrics. This is where human expertise comes into the picture.

Typing a bunch of random text with no predictable syntax and flow is not vibe coding.

A well-designed prompt acts as a programming language for instructing AI to produce structured and reliable outputs, similar to how a software developer writes code.

You should be able to craft precise and effective prompts that scale across various use cases, generate consistent outputs repeatedly and follow a predictable syntax and flow, making them teachable and reusable.

Not every person can use AI tools to develop CODE at a professional level. That's just the harsh reality.

The effectiveness of AI-generated code depends heavily on the clarity and specificity of the input prompt.

Users need to describe the schema, logic and desired output in great detail to achieve meaningful results.

So, while anyone can use AI tools like ChatGPT, not everyone can use them at a professional level for accurate code generation.