The Case for "Re-Inventing the Wheel": Why Vibe Coding is the End of SaaS Bloat

TL;DR: Engineers hate "Vibe Coding" (coding with AI) because it leads to redundancy—rebuilding tools that already exist. But for business owners, this is a feature, not a bug. Why pay $200/month for a SaaS platform with 100 features when you only need three? The future belongs to Bespoke, Disposable Micro-Software. Here is why you need to learn to code, not to be an engineer, but to be a better buyer.

James here, CEO of Mercury Technology Solutions.

I saw a senior software engineer complaining online recently about the rise of "Vibe Coding" (the practice of non-engineers using AI to build software).

His critique? "Vibe Coding is inefficient. People are constantly re-inventing the wheel. There are already libraries and SaaS tools for these things."

From an engineering efficiency standpoint, he is absolutely right.

But from a Business P&L (Profit and Loss) standpoint, he is dead wrong.

We are entering an era where "Re-inventing the Wheel" is actually the smartest financial decision you can make.

1. The SaaS Trap: Buying a Factory to Tighten a Screw

In my consulting work, the most common question I get is: "James, should we renew this SaaS contract?"

The scenario is always the same:

• The Cost: $500 to $5,000 per month.
• The Product: An enterprise suite with 100 features.
• The Reality: The team only uses 3 features.

The modern SaaS business model relies on increasing ARPU (Average Revenue Per User) by stuffing the product with features you don't need, to justify a price you don't want to pay.

You are essentially renting an entire factory just because you need to tighten one specific screw three times a week.

Vibe Coding breaks this monopoly.

If you can Vibe Code, you become your own vendor.

You don't need the 97 unused features. You just ask the AI to build the 3 features you actually need.

• Cloud Lock-in? Gone.
• Subscription Fees? Zero (or pennies for API tokens).
• Complex UI? Replaced by a simple script.

2. Case Study: The "Disposable" Analytics Tool

A few days ago, I needed to analyze a client's social media strategy for 2026.

The Old Way:

1. Google for a tool.
2. Realize SimilarWeb's free tier is useless.
3. Pay for a month of a tool I will use once.
4. Struggle with their dashboard to export the data.

The Vibe Coding Way:

1. Ask: I asked Gemini/ChatGPT: "Is there an open-source way to scrape and analyze these specific metrics locally?"
2. Prototype: I used Google AI Studio to generate a Python script.
3. Refine: I pasted the code into a lightweight editor (like Antigravity or VS Code). It ran logic but lacked an export.
4. Iterate: I told the AI, "Add a feature to export this to CSV."
5. Execute: I ran the script, got my clean CSV, and fed it back to Gemini for strategy analysis.

Total Cost: $0.

Software Lifespan: 2 hours.

After I was done, I deleted the script.

This is Disposable Software. It solved the problem without becoming a fixed cost.

3. The Vibe Coding Curriculum: Breadth > Depth

If you are a Project Manager, a Marketer, or a Founder, you don't need to learn "how to code" like a Computer Science student. You don't need to memorize syntax.

You need to become a Generalist Architect.

In the AI era, you don't need to know how to stack the bricks; you just need to know what a "Castle" looks like.

Here are the 3 Skills you must max out to master Vibe Coding:

Skill 1: The "Technical Map" (Vocabulary)

You don't need to write SQL, but you must know what a Database is.

You don't need to write CSS, but you must understand RWD (Responsive Web Design).

• Why: If you don't know the words API, JSON, Server, Git, you cannot prompt the AI effectively.
• The Prompt:
  • ❌ Bad: "My website forgot the data."
  • ⭕ Good: "The Frontend JSON isn't posting to the Backend Database via the API. Check the payload."

Skill 2: Computational Thinking (Decomposition)

AI fails when you give it a vague, massive task.

"Build me a finance app" = Failure.

You must possess the logic to break that app down into 50 small steps.

• Why: This is the "Product Manager" skill. You must guide the AI: "First, build the input field. Second, validate the number. Third, save it to local storage."
• The Rule: Logic is your responsibility; Syntax is the AI's responsibility.

Skill 3: Survival Mode (Environment & Debugging)

Most people quit Vibe Coding not because the logic is hard, but because they can't install Python or they panic when they see red error text.

• The Fix:
  1. Learn to use a modern IDE (Cursor, Windsurf, VS Code).
  2. Learn to open the Console (F12) to find the error log.
  3. Copy the Error --> Paste to AI.

You don't need to fix the bug. You just need to be patient enough to act as the messenger between the Error Log and the AI.

Conclusion: Own Your Tools

The era of "There's an App for that" is ending.

We are moving to "There's a Prompt for that."

Don't be afraid to re-invent the wheel. If the wheel you build is free, perfectly fits your car, and you can throw it away when you're done—it's a better wheel.

Mercury Technology Solutions: Accelerate Digitality.