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    Berner SetterwallApril 10, 20267 min read

    What Is Vibe Coding? And Why the Tools You Give Your AI Matter More Than the Prompt

    What Is Vibe Coding? And Why the Tools You Give Your AI Matter More Than the Prompt

    Software development is going through its biggest shift since open source.

    For decades, writing software meant writing code. Line by line. Syntax errors. Stack Overflow. Hours of debugging.

    That era isn't over — but a parallel track has opened up. One where you describe what you want, and AI builds it.

    They call it vibe coding.

    What Is Vibe Coding, Exactly?

    Vibe coding is the practice of building software by describing what you want in natural language and letting AI write the code.

    The term was coined by Andrej Karpathy — former Tesla AI director and OpenAI co-founder — in February 2025:

    "There's a new kind of coding I call 'vibe coding,' where you fully give in to the vibes, embrace exponentials, and forget that the code even exists."

    Instead of writing function calculateROI(spend, revenue), you tell the AI: "I need a function that calculates return on investment from ad spend and revenue, handling edge cases like zero spend."

    The AI writes it. You review it. Ship it.

    Think of it like this:

    • Traditional coding = You write every line, you debug every error
    • Vibe coding = You describe the intent, AI writes the implementation, you guide the direction

    TL;DR

    • Vibe coding means building software by describing what you want in plain English — AI writes the code
    • Coined by Andrej Karpathy in early 2025, now mainstream among developers
    • Tools like Claude Code, Cursor, and GitHub Copilot make it practical
    • The quality of output depends less on your prompt and more on what tools and context the AI has access to
    • This same principle — AI + right tools — is now reshaping marketing as "vibe marketing"
    • Cogny Solo applies the vibe coding philosophy to marketing: give AI the right data tools, get real analysis

    How Vibe Coding Actually Works

    Vibe coding isn't magic. It's a workflow. Here's what it looks like in practice with a tool like Claude Code:

    1. Describe what you want

    You open your terminal, start Claude Code, and describe what you need in plain English:

    "Add a dashboard page that shows the user's monthly ad spend across Google and Meta, with a chart comparing month-over-month performance."

    2. AI writes the code

    Claude Code reads your existing codebase, understands the framework, database schema, and component patterns you're already using — then writes the implementation.

    Not a generic snippet. Actual production code that fits your project.

    3. You review and refine

    You look at the output. Maybe the chart library isn't what you wanted. You say: "Use Recharts instead of Chart.js, and add a toggle to switch between spend and ROAS."

    The AI adjusts. You iterate.

    4. Repeat until shipped

    This loop — describe, generate, review, refine — replaces the traditional write-debug-write cycle. It's faster, and it keeps you focused on what you're building rather than how to implement it.

    The Insight Most People Miss: Tools > Prompts

    Here's what separates a frustrating AI experience from a productive one.

    It's not your prompt. It's what tools the AI has access to.

    Think about it. A brilliant developer with no access to documentation, no database connection, and no ability to run tests is going to struggle. The same is true for AI.

    When you use Claude Code in a project, the AI can:

    • Read your entire codebase — it understands your patterns, not generic patterns
    • Run commands — it can execute tests, check builds, verify its own work
    • Access databases — through MCP (Model Context Protocol) servers, it can query your actual data
    • Use specialized tools — linters, type checkers, API clients, deployment scripts

    The more capable tools you give the AI, the better the output. A vague prompt with great tools beats a perfect prompt with no tools.

    This is why projects like the Claude Code Marketing Skills collection exist — pre-built skill sets that give Claude Code domain expertise in areas like marketing, SEO, and performance analysis. Instead of starting from scratch, you install skills that give your AI the right playbook.

    Vibe Coding Is Not Just for Developers

    Here's where it gets interesting.

    The same principle — describe what you want, AI does the technical work — is spreading beyond software development:

    • Designers use AI to generate UI from descriptions
    • Data analysts describe the analysis they want, AI writes the SQL
    • Marketers describe the campaign insight they need, AI queries the data and delivers the answer

    That last one has a name now. They're calling it vibe marketing.

    Same philosophy. Same workflow. Different domain. Instead of giving AI access to your codebase, you give it access to your marketing data — Google Ads, Meta Ads, BigQuery, Search Console — and let it work.

    Why This Matters: The Tools Arms Race

    We're entering a phase where the competitive advantage isn't knowing how to code or how to write prompts. It's knowing which tools to give your AI.

    Consider two scenarios:

    Scenario A: You ask Claude to analyze your Google Ads performance. It has no data access. It gives you generic advice about Quality Scores and bid strategies. Useless.

    Scenario B: You ask Claude to analyze your Google Ads performance. It has MCP access to your BigQuery warehouse, your Google Ads API, your Google Analytics data, and your Search Console. It runs actual queries, finds that your top-spending campaign has a 0.3% conversion rate while a neglected campaign converts at 4.7%, and recommends a specific budget reallocation.

    Same prompt. Wildly different value. The tools made the difference.

    How to Start Vibe Coding Today

    If you want to try vibe coding, here's the simplest path:

    1. Install Claude Code — Anthropic's CLI tool for AI-assisted development. Works in your terminal, reads your project, writes real code.

    2. Give it context — Create a CLAUDE.md file in your project root describing your architecture, conventions, and patterns. This is the AI's onboarding doc.

    3. Add skills for your domain — Browse the Claude Code Marketing Skills repo for pre-built expertise packs. Install the ones relevant to your work.

    4. Start with real tasks — Don't test it on toy problems. Give it a real feature, a real bug, a real analysis. That's where the value shows up.

    5. Iterate on tools, not just prompts — When the output isn't good enough, ask yourself: does the AI have the tools and context it needs? Often the answer is no.

    The Future: Every Role Becomes a "Vibe" Role

    Vibe coding started as a developer thing. But the pattern is universal.

    Any knowledge worker who can clearly describe what they want — and who gives AI the right tools to execute — can now operate at a higher level. The specific domain doesn't matter. What matters is the combination of clear intent + capable tools.

    For marketers, this is already happening. Cogny Solo connects Claude to your marketing data warehouse — BigQuery, Google Ads, Meta Ads, Search Console, GA4 — and lets you run the same vibe workflow on your marketing stack. Describe the analysis you need. AI does the technical work. You make the decisions.

    The question isn't whether AI will change your workflow. It's whether you'll give it the right tools when it does.

    FAQ

    Is vibe coding real programming? Yes. The output is real code that compiles, runs, and ships. The process is different — you describe intent instead of writing syntax — but the result is production software.

    Do I need to know how to code to vibe code? It helps. Understanding code lets you review AI output, catch issues, and guide the AI more effectively. But the barrier to entry is dramatically lower than traditional development.

    What tools are best for vibe coding? Claude Code is purpose-built for this — it runs in your terminal, reads your full codebase, and can execute commands. Cursor and GitHub Copilot are popular alternatives with different approaches.

    What is MCP and why does it matter? MCP (Model Context Protocol) is an open standard that lets AI models connect to external tools and data sources. It's what allows Claude Code to query your database, access your APIs, and use domain-specific tools — making the "give AI the right tools" principle practical.

    What's the difference between vibe coding and vibe marketing? Same philosophy, different domain. Vibe coding = describe software, AI builds it. Vibe marketing = describe the analysis or campaign you need, AI executes it using your marketing data. Both depend on giving AI the right tools.