Joint webinar with Adobe — Marketo’s MCP, demystifiedWebinar — Marketo’s MCP, demystifiedSave your seat →
All posts

Strategy

Stop Vibe Coding. Start Marketing.

Jun 3, 2026

Ahmed DatooWritten byAhmed Datoo
Marketer at a laptop caught in an endless AI build loop — why vibe coding is the wrong use of marketing talent

There's a new Saturday morning ritual sweeping through marketing departments.

Open Claude. Start a project. Prompt your way into a workflow. Add a feature. Fix a bug. Adjust an output. Before you know it, it's 4pm, you've built something that vaguely resembles a lead scoring model, and you haven't done a single minute of actual marketing.

This is vibe coding. And it has infected marketing.

Vibe coding is the practice of building software through conversational AI without really knowing how to code. It was supposed to democratize engineering. What it's actually doing to marketers is costing them the one thing they can't get back: time to think.

The rabbit hole isn't a feature. It's the bug.

How the trap works

Andrej Karpathy coined "vibe coding" to describe how engineers now interact with LLMs. Less upfront architecture, more intuition — let the model handle the syntax. For engineers, that's a productivity shift. For marketers, it's become an expensive distraction wearing a productivity costume.

Here's what actually happens: you have a legitimate AI mandate from leadership. You open Claude. You start small. Maybe a prompt that cleans a list. That works, so you expand it. Now you want it to score leads. Now route them. Now you're building an entire workflow from scratch, debugging edge cases on a Sunday afternoon.

You just spent your weekend becoming a mediocre junior engineer.

Meanwhile, the marketer across town spent their weekend thinking about a campaign angle nobody's tried yet.

Your board said "use AI." They didn't say "build AI."

The AI mandate is real. Boards everywhere are telling marketing leaders to get AI in play, fast. And marketers are responding. The problem is how.

Building is not the answer. Buying is.

The directive to "use AI" means get AI-powered tools working in your stack so your team moves faster and does more with less. It does not mean become an AI engineer and build your own infrastructure from scratch.

The companies that win won't be the ones with the most custom-built workflows. They'll be the ones that got turnkey solutions in place quickly, then spent their cognitive energy on the judgment calls that actually matter.

Time to market wins when everyone is moving fast. Every week you spend building is a week you're not marketing.

Taste and judgment are your moat. Code isn't.

Let's be honest about what the job actually is.

A great marketer knows which message will resonate before testing it. They read a campaign brief and find the one insight worth running. They look at AI-generated copy and immediately feel the slop — the generic turn of phrase, the obvious hook, the claim that sounds plausible but isn't quite right for this audience.

That's the job. That's always been the job.

AI doesn't change this. It amplifies it. Because now everyone has access to the same generation tools. The differentiator isn't who can build the most sophisticated prompt chain. It's who has the taste to recognize what good output looks like, and the judgment to push past mediocre until they get there.

You need to know what to ask. Then evaluate the output for slop. That's the whole game. Building is not part of it.

The build vs. buy question is already answered

There's a version of the build-it-yourself argument that sounds compelling: more control, custom to your needs, cheaper long-term. This argument has never once held up in marketing.

Teams that built their own analytics platforms lost to teams using Mixpanel. Teams that built their own email infrastructure lost to Klaviyo. The graveyard of homegrown martech is enormous, and nobody visits it.

AI marketing is following the same arc. Turnkey solutions exist. They work. They're built by people who do this full-time, with engineering teams and continuous improvement cycles. You are not going to out-engineer them on weekends.

What you can bring — and what only you can bring — is the marketing judgment they can't build. The instinct for what your audience actually cares about. The creative sense for the campaign that cuts through. The strategic clarity to know what to run and what to kill.

That judgment doesn't come from a prompt window. It comes from your experience as a marketer. Protect it.

Stop building. Start marketing.

The most dangerous thing about vibe coding isn't that it's hard. It's that it feels productive.

You're doing something. You're "using AI." You have something to show. But output isn't the same as impact. A functioning Zapier imitation is not a marketing win. A campaign that generates pipeline is.

Spend your AI time on what only you can judge: the brief, the angle, the message, the creative direction. Then use a tool that handles the rest.

That's how you win when everyone has AI. Not by out-building them. By out-thinking them.


Frequently Asked Questions
What is vibe coding for marketers?

Vibe coding for marketers is the practice of using conversational AI tools like Claude or ChatGPT to build marketing workflows, automations, or tools from scratch without formal engineering experience. While it can produce working prototypes, it typically pulls marketers away from higher-value strategic work where judgment and taste create real competitive advantage.

Should marketers learn to code with AI?

Basic AI prompting skills are genuinely useful — knowing how to ask for what you want and evaluate output quality is core to the job now. But spending significant time building custom AI tools from scratch is almost always a poor trade. Turnkey AI marketing platforms handle the build work so marketers can focus on strategy, creative direction, and judgment.

Build vs. buy: which is right for AI marketing tools?

For most marketing teams, buying wins on speed, reliability, and total cost of ownership. It also frees the team to do actual marketing rather than maintenance. Building makes sense when you have a genuinely unique workflow that no platform can serve. That's rarely the case in demand gen.

Ready to hire Mary?

Less reading. More shipping.

Book a Demo