Where Vibe Coding Will Be This Time Next Year

Time to read:

5–7 minutes

Two years ago, the idea that you could describe a piece of software in plain English and have it built for you would have sounded far-fetched.

Now it is becoming normal.

That is what makes vibe coding interesting. It collapses the distance between an idea and a working product. Instead of needing a developer, designer, and weeks of iteration, you can increasingly just describe what you want and watch a tool assemble it.

That shift is already changing expectations. Over the next year, I think it is going to move much further.

Where things are today

Right now, tools like Loveable, Bolt and Base44 show what the first phase of vibe coding looks like.

They let people build websites, apps, and software by describing what they want. For many users that is already transformative. You can go from idea to working app in minutes, not weeks.

That is why these tools are growing so quickly. They make software creation accessible in a way it has never been before.

But this is only the starting point.

The next move: orchestration

If the first phase of vibe coding was about generating websites and apps, the next phase is about coordinating broader workflows.

Platforms like Loveable are starting to hint at this direction. The goal is no longer just producing a single output. The tools are beginning to coordinate multiple steps across systems.

You can already see this in the way people experiment with tools like Claude Cowork. Instead of generating code alone, AI starts helping run processes.

That might mean:

generating a video using Remotion
coordinating other tools
stitching together outputs from multiple models
automating multi-step workflows

Vibe coding begins to move from “build me an app” to something closer to “run this task for me.”

That is a much bigger shift.

The technical frontier is ahead of the market

At the more advanced end, frameworks like OpenClaw show where this could go.

They point toward a world where AI systems coordinate complex workflows across tools and data sources.

But for most small businesses, this is still far too complex. The power is there, but the interface is not.

Most business owners do not want to design AI workflows. They want outcomes.

They want to click a button and get a campaign, a landing page, a video, or a customer follow-up sequence.

Which means the next wave will not be raw orchestration tools becoming mainstream. It will be products that wrap that complexity up and make it simple.

AI will become appified

This is where companies like Canva become interesting.

As Canva moves toward marketing AI automation, it is effectively packaging some of this emerging power into something ordinary businesses can actually use.

Instead of configuring AI agents, you simply trigger a workflow.

Tools like Helena AI point in a similar direction. The promise is not just generating content, but helping plan and execute marketing activity.

Something closer to having a marketing team in your pocket.

Behind the scenes there may be complex orchestration happening. But from the user’s perspective it feels like a simple application.

That appification is likely to be how most businesses encounter these capabilities.

The possibility gap

One of the most striking things right now is the gap between what AI can do and how businesses are actually using it.

When I talk to friends who run small businesses, most of them are using ChatGPT in some way. But usually only for writing emails, social posts, or brainstorming ideas.

Useful, yes. Transformative, not really.

Meanwhile the underlying capabilities are racing ahead.

That gap between what is possible and what most businesses are doing today is enormous, and it is likely to grow as the models improve.

That gap is where the opportunity sits.

The real opportunity: building the bridge

The businesses that succeed over the next year will not just build better models. They will build the bridge between technical possibility and practical use.

That might mean:

product companies packaging AI workflows
agencies delivering AI-powered services
developers building specialised tools
educators helping businesses understand what is now possible

There is going to be enormous value in translation.

Because for most businesses, the challenge is no longer access to AI. It is knowing how to use it.

What this means for WordPress

For WordPress, this raises an interesting question.

If vibe coding evolves into orchestration and automation, then the centre of gravity may shift away from websites alone.

WordPress could remain one tool among many in these workflows.

Or it could evolve into something more ambitious: a platform that coordinates them.

With things like agent systems, capability frameworks, and AI integrations, WordPress could begin to orchestrate:

marketing workflows
content generation
automation systems
AI agents across different tools

That would position it less as a website builder and more as an operational layer for the web.

A big opportunity for the ecosystem

This shift is not just relevant for WordPress itself.

It creates opportunities across the ecosystem.

Agencies, developers, educators, and product builders all have room to help businesses adopt these new capabilities.

The demand will not just be for technology. It will be for people who can turn powerful tools into practical workflows.

That has always been where much of the WordPress ecosystem’s value comes from.

Hosting platforms may move first

Hosting companies may also play a bigger role here.

Platforms like WordPress.com already bundle infrastructure, tools, and services together.

The next step could be bundling AI agents and workflows as well.

Instead of just hosting a website, a platform might quietly include agents that help run marketing, content production, automation, and reporting.

Hosting would move from infrastructure to something closer to an operating system for small businesses.

One year from now

Over the next year, vibe coding will likely move through three stages:

From building apps to orchestrating workflows
From general AI tools to specialised AI teams
From experimentation to everyday business infrastructure

The tools will get better quickly.

But the biggest change will not be technical. It will be practical.

Businesses will start realising how large the gap is between what they are doing today and what is now possible.

And the companies that help them cross that gap will be rewarded greatly.

For WordPress, the question is whether it remains part of the tool stack or becomes part of the orchestration layer.

That choice may shape where it sits in the next phase of the internet.


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