By Tait Chambers, Founder & Web Developer
For many small businesses, a traditional content management system is no longer the fastest way to launch a new page. WordPress, Drupal, Joomla, and similar platforms are powerful, but they often add overhead for simple websites that mainly need a strong landing page, a service page, or a local SEO-focused page.
Artificial intelligence changes that equation. With the right workflow in Visual Studio Code, an AI plugin such as GitHub Copilot can help a developer generate a new page, add SEO metadata, structure the content, and prepare it for deployment in a fraction of the time it would take to build the same page inside a CMS.
This approach is especially useful when you need to publish a new page quickly: a service-area page, a local business page, a product spotlight, or a short marketing article. Instead of setting up themes, plugins, and database-driven content blocks, the developer can focus on the content itself and the page experience.
Modern AI tools are strong at turning a simple prompt into a usable first draft. In VS Code, that means you can describe the page you want, ask for polished HTML, insert the right sections, and have the AI generate a layout that already fits your site structure.
A practical workflow might look like this:
This is faster than building a full CMS page from scratch because you are not spending time on theme configuration, plugin compatibility, or content editor settings. The AI becomes a fast drafting partner that helps you turn an idea into a complete, publishable page.
One of the biggest advantages of this workflow is how naturally it fits into a developer's existing stack. VS Code already supports file-based editing, Git version control, and extensions that improve productivity. Add an AI plugin and you can move from concept to deployment with fewer steps.
For a website that is already structured with reusable includes, a shared header, and a common footer, AI can help generate a clean page that matches the rest of the site. That is one reason this method works so well for agencies and small businesses that need lots of pages quickly. You can create several local service pages, location pages, or campaign pages with consistent structure and SEO fundamentals.
When the page is ready, it can be deployed using the same approach as any other static or PHP-based page. If the site uses a standard file-based deployment process, the workflow is simple: create the file, review it in the browser, and upload it. That makes AI-assisted development especially appealing for teams that want fast turnaround without the overhead of a full CMS.
This method is ideal for:
In these cases, the value is not just speed. It is also consistency. AI can help maintain the same heading structure, section pattern, call-to-action placement, and on-page SEO approach across dozens of pages.
There are still real limits. A website that depends on a database for dynamic content will not be well served by a simple AI-generated page workflow alone. Examples include:
Those projects usually need a database-backed content model, admin panels, and user roles. In those cases, WordPress or another CMS can still be the better long-term foundation, even if AI is used to accelerate the build process. The key is to match the technology to the complexity of the site.
Replacing WordPress or another CMS with AI does not mean abandoning structure or quality. It means using the right tool for the right task. For fast, content-rich marketing pages, AI-assisted development in VS Code can be remarkably efficient. For database-driven products, a traditional CMS or custom backend may still be necessary.
In practice, the best strategy is often a hybrid one. Use AI to generate the initial page quickly, then refine it for SEO, speed, accessibility, and branding. Keep the site architecture simple where possible, and reserve more complex systems for features that truly require them.
That approach gives businesses the best of both worlds: speed when they need it, and flexibility when complexity grows.
