Vibe Coding

One of my favorite YouTube clips is the infamous video of Steve Ballmer storming the stage at Microsoft’s 25th-anniversary event in 2000.

Sweating, screaming, and sprinting, Ballmer repeatedly yelled, “I love this company!”—a performance that instantly went viral.

Another classic shows him at a Windows 2000 developers' conference, drenched and repeatedly shouting “Developers! Developers! Developers!”—a performance that earned him the nickname “MonkeyBoy.”

The energy was over the top, but the message was clear: developers were everything for early Internet success.

Also for years, developers were the bottleneck—or the unfair advantage. Hire the right one, and you could build an empire. Hire the wrong one, and you’d burn cash while losing market share.

But things are changing.

With the rise of large language models that can write code, the definition of a "developer" is shifting.

You may never need to master a programming language, yet still build apps, automate tasks, or ship your software product.

We may all become developers—just not in the way Ballmer imagined.

One early indication of this is the new term, vibe coding.

☕️ AI Tangle - Midjourney's V7 Debut Puts it Back in The Limelight After Nearly a Year

 🔮 AI Lesson - Role Playing with LLMS

🎯 The AI Marketing Advantage - How to Win When AI Is the One Buying

💡 AI CIO - AI Auditing in Focus

 📚 AIOS - This is an evolving project. I started with a 14-day free Al email course to get smart on Al. But the next evolution will be a ChatGPT Super-user Course and a course on How to Build Al Agents.

Vibe Coding

Why prompting is the new programming — how AI writes more code and how you can capitalize on it

Software development is being redefined—not by a new language or framework, but by how people interact with code itself. In early 2025, Andrej Karpathy, part of the founding OpenAI team, coined the term “vibe coding” to describe a shift in programming: using natural language to guide AI models that write the code.

This isn’t just code generation—it’s code orchestration, where the developer’s role is less about syntax and more about shaping behavior.

This concept is spreading fast for one reason: it works. Vibe coding trades technical depth for velocity. By describing what the software should do, users let Large Language Models (LLMs) generate the implementation. The result is software that’s built faster, by more people, and often without writing a single line of code manually.

But this ease comes with tradeoffs—especially for businesses scaling AI use across departments.

From Developer to Director: What Vibe Coding Actually Changes

Vibe coding shifts responsibility from coding to prompting. Instead of methodically crafting logic, developers guide AI systems trained on millions of code examples. They test, refine, and validate outputs—not build from scratch. This reframes software development as a collaborative effort between humans and machines.

This isn’t low-code. It’s no-code at the deep end of the pool. What Karpathy described—“fully give in to the vibes”—captures the trust required to let AI handle execution while users focus on outcomes.

This approach allows non-engineers to ship working code. But it also increases the risk that systems will be poorly understood, hard to maintain, and insecure. Businesses adopting vibe coding need guardrails: governance, validation processes, and clear roles for human oversight.

Why Businesses Should Pay Attention

Vibe coding isn’t a consumer toy—it’s already being used in enterprise environments:

• Replit allows teams to build entire apps from prompts.

• GitHub Copilot and Amazon Q Developer embed LLMs into developer workflows.

• Cursor and others streamline bug fixes and feature creation through conversational prompts.

• Accenture and IBM are using AI-assisted development to modernize systems.

Y Combinator startups have built AI-generated codebases from day one.

Some apps developed this way have reached seven-figure revenues in weeks. Vibe coding isn’t theoretical—it’s being used in production, right now.

Use Cases Across the Org Chart

Vibe coding isn't just for developers. It enables domain experts to build software tools without writing traditional code:

• Marketing: Build custom landing pages, campaign analytics dashboards, or audience-specific content workflows.

• Product Management: Generate MVPs and internal tools to test ideas quickly.

• Operations: Automate reporting, connect siloed systems, or build tailored dashboards from data sources.

This democratization of development speeds up experimentation and reduces bottlenecks caused by limited engineering capacity.

Where It Breaks: Risks and Limitations

The tradeoffs of vibe coding aren’t theoretical. They include:

• Opaque code: LLMs produce code that may work, but without clear documentation or rationale.

• Security risks: AI may unknowingly introduce insecure patterns or outdated dependencies.

• Skill erosion: Developers who rely too heavily on AI may lose touch with core concepts needed for debugging or architectural decisions.

• Limited context: AI systems still struggle with domain-specific logic, edge cases, and long-term maintainability.

Businesses can’t adopt vibe coding without investing in oversight. Quality assurance, code review, and testing remain critical—even if code isn’t written by hand.

The Strategic Implications: What Comes Next

Vibe coding is more than a technical trend. It’s a new interface for software creation—one that will influence hiring, training, and project management.

Here’s what’s coming:

• Prompt engineering will become a required skill for product teams.

• Citizen developers play larger roles in shaping internal tools and prototypes.

• Developer roles to shift from builders to AI supervisors—focused on systems design, performance, and integration.

• Stronger demand for secure, explainable AI tools that can coexist with existing infrastructure.

The most effective organizations won’t just use vibe coding—they’ll structure teams and processes around it.

Bottom Line

Vibe coding is not a gimmick. It’s a clear signal of how AI is changing work. Businesses that treat it as a curiosity will be outpaced by those that operationalize it with discipline.

The winners won’t be the ones who generate the most code. They’ll be the ones who ship working software faster, safer, and with fewer silos—by turning ideas into outputs, not specs into backlogs.

• Cursor - Cursor lets you write code using instructions. Update entire classes or functions with a simple prompt.

• Aider - Aider lets you pair programs with LLMs to start a new project or build on your existing codebase.

• Cody - The enterprise AI code assistant Sourcegraph goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI.

• Replit - An advanced AI making programming accessible to everyone. Build at the speed of thought and launch in minutes.

Use Vibe Coding for a Landing Page

One of the toughest things I faced earlier in my career was getting a landing page made. I needed to consult, webmasters and graphic artists. Then I iterated back and forth. Now I can write HTML and generate landing pages but not that quickly. Enter the Replit development environment and AI.

Here are a couple of ways to get this done quickly and effectively.

What is Replit? 

Replit is a browser-based development environment that lets you write, run, and deploy code without installing anything. It’s ideal for beginners and non-developers because it removes the need for complex setup or local development tools. Replit supports dozens of languages, offers real-time previews for web apps, and enables fast sharing or publishing with one click. It’s a great match for AI-powered workflows where code is generated dynamically and needs to be tested or deployed quickly.

Step 1: Set Up Replit

1. Go to Replit.com, sign up (Google or email).

2. Click Create Repl > Choose HTML, CSS, JS template.

3. Name the project (e.g., "LandingPageAI") and click Create Repl.

Step 2: Describe the Page in ChatGPT Open ChatGPT and describe what you want, like:

# Objective 

I’m not a developer, but I want to build a simple landing page for a consulting firm. 

# Role
You are my AI coding assistant.

**Company Name:** TechConsult Co.  
**Tagline:** “Innovative Tech Solutions for Your Business”  

**Sections:**  
- Header with company name and tagline  
- “Our Services” section listing: IT Consulting, Cloud Solutions, Cybersecurity  
- A large, centered “Contact Us” button  

**Style Requirements:**  
- Background: #0B132B (deep navy)  
- Text: white (#FFFFFF)  
- Accents: teal (#00C6A9)  
- Button: orange (#FF6B35), white text  
- Use Google Fonts (Open Sans or Inter)  
- Layout should be clean, modern, and mobile-friendly  

**Output Instructions:**  
- Provide two code blocks: one for HTML (`index.html`), one for CSS (`style.css`)  
- Link the CSS file in the HTML head section  
- Make sure I can copy/paste both into Replit without errors  

I’ll give feedback after this, so format clearly and keep each section easy to edit.

ChatGPT will return HTML and CSS code.

Step 3: Copy Code to Replit

1. In Replit, open index.html and paste ChatGPT’s HTML.

2. If there's CSS, open style.css and paste it there.

3. Click Run to preview your landing page.

Step 4: Refine with Prompts To change styles or content:

• Example: "Change the background to a blue gradient."

• ChatGPT gives updated code. Paste it into Replit and Run again.

Repeat to tweak the layout, colors, or text.

Step 5: Publish It Click Deploy in Replit (top-right), choose Static, and follow the instructions to get a public URL for your page.

Summary You just:

• Described your site

• Let ChatGPT write the code

• Pasted it into Replit

• Ran and published it

You can use vibe coding to turn your ideas into websites using plain English. No developers, no waiting. Just describe what you want and refine the output. Simple and fast.

Prompt to Use with Claude

While Replit does a great job developing and deploying maybe you just need to create the code for a landing page and upload it to your own website. That’s where I recommend Claude.

Claude is particularly effective for vibe coding workflows because it handles long-form, structured instructions with clarity. It interprets business-focused prompts cleanly, produces readable, modular code, and offers predictable formatting that’s easy to copy into tools like Replit or just deploy on your own infrastructure.

Claude also excels at making iterative refinements from follow-up instructions, which makes it well-suited for non-developers who want to prototype through natural conversation.

Claude's interface supports a feature called artifacts, which are formatted code blocks or files displayed in a separate container below the response. These are useful for copying clean, formatted code — but when copying from Claude’s regular response (not the artifact container), you may still encounter formatting issues.

I generated the prompt below in ChatGPT. I didn’t write the XML myself—I just asked ChatGPT to generate it. But you could also just use plain text.

<prompt>
  <role>user</role>
  <description>I am a non-developer and I want you to help me create a simple landing page using vibe coding.</description>
  <instructions>
    <company>
      <name>TechConsult Co.</name>
      <tagline>Innovative Tech Solutions for Your Business</tagline>
    </company>
    <layout>
      <section>Header with company name and tagline</section>
      <section>Our Services with list: IT Consulting, Cloud Solutions, Cybersecurity</section>
      <section>Contact Us button</section>
    </layout>
    <style>
      <color name="background">#0B132B</color>
      <color name="text">#FFFFFF</color>
      <color name="accent">#00C6A9</color>
      <color name="button-bg">#FF6B35</color>
      <color name="button-text">#FFFFFF</color>
      <font>Open Sans or Inter (Google Fonts)</font>
      <responsive>true</responsive>
    </style>
    <output>
      <file type="html">index.html</file>
      <file type="css">style.css</file>
      <note>Link the CSS in the HTML head. Make code copy-paste ready for Replit.</note>
    </output>
  </instructions>
  <postprocessing>After reviewing, I’ll request updates using natural language.</postprocessing>
</prompt>

I appreciate your support.