No-BS Vibe Coding Series - Part 1: Why Your First Prompt is a Trap

Learn vibe coding the right way. This beginner's guide covers tech stack selection, AI tool choices, and writing a PRD—before you waste tokens on bad prompts.

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TL;DR: This is Part 1 of the No-BS Vibe Coding Series. After you've set your strategy here, move to Part 2: Safety with Git, Part 3: Context Management, and Part 4: Test-Driven Vibing

Before you start vibe coding, you need three things:

• A tech stack decision,

• The right AI tool for the job,

• A PRD document.

Skip these, and you’re building on sand.

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Welcome👋🏻
I’ve decided to start this Vibe Coding series to share my perspective as a software engineer. My goal is to close the gap between the technical and the non-technical, making these concepts accessible to everyone, regardless of their background.

Enjoy the Part 1 of a 5 part series!

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You're ready to try vibe coding for the first time. Coffee's hot, you open your favorite AI coding tool—Claude, Cursor, maybe Lovable—and type a single hopeful sentence:

Build me a personal finance tracker app.

In a few minutes—and in exchange for a few thousand tokens—an app appears. It feels like magic. It feels like pure speed. But in reality, it is a trap.

At that moment, you have just handed over 100% of the architectural decisions—the language, the database, and the underlying logic—to an AI that doesn’t know if you’re building a weekend hobby, a gift for a friend, or the foundation of a future startup.

To bridge the gap between your intent and the AI’s capability, you must start not with a prompt, but with Analysis.

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In my day job as a developer, we don’t just start typing. Before a single line of code is written, we spend hours, sometimes days, on System Design. We draw diagrams, we argue over data flow, and we weigh every trade-off.

In “Vibe Coding,” we tend to skip this because the AI is so fast that we mistake its speed for intelligence. But without a plan, the AI defaults to whatever is easiest for it to write in the moment, not what is easiest for you to maintain in the long run.

If you don’t choose the structure, the AI will choose it for you. Often, it will build a “monolith”—a single, giant block of code that is nearly impossible to change without breaking everything else. It works for the first five minutes, but it collapses the moment your project grows beyond 30 files.

Before you write a single line of code, you must design the system.

1- How to Choose Your Tech Stack for Vibe Coding

What is a Tech Stack?

You don’t need to be a senior engineer, but you do need to know which “flavor” of technology you want to inhabit. We call this a Tech Stack, but really, it is just the environment where your idea lives.

As a backend developer, my specialty is designing scalable systems that don’t break under heavy traffic. However, a full app needs more than just a “brain” (the backend); it needs a body and a face.

Recommended Stacks for Web Apps vs Mobile Apps

If I were building a web app today, I’d use Next.js + Vercel to ship it in 48 hours. If you want a mobile app, you might look at Flutter to target iOS and Android at once. The point isn’t to learn the code—it’s to pick the path so the AI knows what it is doing.

Prompt Template: Get Your Custom Tech Stack Recommendation

If you are not sure where to start, copy and paste this into your favorite LLM (Claude, GPT-4, etc.) to get your custom recommendation:

I have an idea for an app, but I need to choose the right tech stack to ‘vibe’ with my goals. I am a [Beginner / Intermediate / Expert] at coding.

My App Idea: [Describe your idea here—e.g., ‘A personal finance tracker’]

My Priorities (Rank these 1-3):
Speed of shipping (I want it live in 48 hours).
Scalability (I expect 5,000 users soon).
Visual Polish (It needs to look high-end and custom).

The Goal: Please recommend a modern tech stack that fits this ‘vibe.’ Explain why these tools work together, which hosting provider I should use (like Vercel or Supabase), and provide a ‘Day 1’ checklist to get the environment set up.

2- Claude Code vs Cursor vs Lovable: Which AI Coding Tool Should You Use?

Not all AI tools are built for the same job. You need to match the tool to the specific task. You wouldn’t use a sledgehammer to hang a picture frame.

• Claude Code (Terminal/Agentic): This is the “Deep Thinker.” It is agentic, meaning it can perform multiple steps on its own. It’s best for complex logic and structural changes where the AI needs to “think” across your whole project.

• Cursor (The IDE): This is your “Daily Driver.” It’s a visual editor that lets you see the code as it changes in real-time. It’s best for the user interface (UI), styling, and adding features quickly.

• v0 / Lovable: These are the “Sketchpads.” These tools are where you prototype your ideas at light speed. Use them to generate the look and feel—the visual vibe—before you move the code into its permanent home.

Personally, I lean toward Claude Code because I like being hands-on. If you’re a complete beginner, I’d recommend starting with Cursor. It provides the most visual clarity as you build.

3- What is a PRD? Writing Your Product Requirements Document

Before you open your editor, you need to draft a Product Requirements Document (PRD). This isn’t just paperwork; it is the physical manifestation of what your app needs to do.

If we are building that personal finance tracker app, your PRD should look like this:

Project: Personal Finance Tracker App

The Core Verb: Users capture daily expenses and visualize monthly trends.

The User Flow:

1. User opens app (defaults to “Quick Add”).

2. User enters amount and category.

3. User views a simple “Remaining Balance” donut chart.

Technical Constraints:

• Mobile First: Optimized for mobile screens.

• Offline Capable: The app must allow entries even without Wi-Fi.

• Zero Friction: No login screen for the MVP (Minimum Viable Product). Use LocalStorage.

The “No-Go” List:

• No bank integrations (manual entry only).

• No complex investment tracking.

• No social sharing features.

Honestly, this is just an example. Your actual PRD document would probably more comprehensive than this. I wanted to keep it simple for this article.

I suggest you to use ChatGPT’s Deep Research mode or Claude’s Opus 4.5 to create a comprehensive Product Requirements Document. After you create this document, add it to your project’s folder. AI will analyze it and implement the features based on this PRD document.

Why Planning Before Prompting Prevents Technical Debt

By defining the Stack, the Tool, and the PRD, you are building a Context Container. You are setting the technical constraints the AI needs to avoid spaghetti code and circular dependencies. By narrowing the scope, you prevent the model from guessing—which is where 90% of technical debt begins.

It requires data, logic, and constraint.

We call this “vibe coding,” but really, it is Requirement Engineering. The AI functions as your execution engine; you function as the logic provider. If the system architecture is flawed, we don’t blame the generator—we audit the specification.

The Human Element: Why AI Can't Replace Your Judgment

Choosing your tools and constraints is the highest-leverage part of the build. The AI can generate 1,000 lines of code in seconds, but it cannot define the business logic or the system requirements.

Your judgment in these first ten minutes determines whether your project becomes a production-ready application or a pile of unmaintainable technical debt. You aren’t just “vibing” with a machine; you are Engineering with Intent. The AI provides the computational labor, but your specification provides the system logic.

It requires a stack, a spec, and discipline.

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The groundwork is now laid. You have a stack, a set of tools, and a clear requirement document. You’ve successfully moved from "hoping the AI understands" to "ensuring the AI follows."

Now that you have your PRD and tech stack, don't start prompting yet. You need a safety net. Read Part 2: How to Undo AI Mistakes Safely with Git to ensure one bad prompt doesn't ruin your project