AI and coding: will AI replace WordPress developers or enhance them?

As AI tools become more integrated into workplaces, marketing agencies are among the first to adopt them. Many agency teams now use Claude for spreadsheet work, Gemini for drafting emails, and ChatGPT for client research. These tools save time and handle routine tasks well.

So it’s natural to wonder: if AI can do all that, why not use tools like Claude Code or similar platforms to generate websites instead of hiring WordPress developers? It’s an appealing idea, especially when you’re looking to cut costs.

At White Label Agency, we’ve spent over a decade in the industry working with hundreds of agencies. Coming from this experience, we believe AI is changing how people build websites, but the best results come from combining artificial intelligence with real human expertise. In this blog post, we’ll explain why we think that way.

AI vs human WordPress developers: comparing costs

The financial case for AI looks compelling on paper. But when you factor in the full picture, the math becomes a bit more complex. Below, we’ll try to break down what we mean by this. 

The low cost of AI-generated code

AI coding tools offer immediate financial benefits. Platforms like GitHub Copilot cost around $10-20 per month per developer, while ChatGPT and similar tools can generate functional code in seconds at minimal cost. For agencies managing tight budgets, this looks like a straightforward way to reduce development expenses.

According to a GitHub survey of 500 developers, 70% reported that AI tools help them complete tasks faster. This means what used to take hours can now be done in minutes. For repetitive tasks like creating generic templates or writing standard functions, AI can handle much of the basic work now.

Poorly built sites cost more to maintain

The speed and low cost sound great. But we think there’s another side to consider: what happens after the site launches. This is where costs can add up in ways that aren’t obvious at first.

Anna, our Head of Maintenance at WLA, was one of the first among us to notice this: “We’ve taken over several projects that were built heavily with AI-generated code. The initial build might have been fast, but the maintenance workload ended up being bigger. When code doesn’t follow proper development standards (clean structure, good documentation, consistent patterns), it becomes much harder and more expensive to maintain over time.”

According to the WordPress Vulnerability Statistics report, over 95% of security vulnerabilities in WordPress sites come from plugins and themes, not WordPress itself. Many of these vulnerabilities are due to common coding mistakes, the same mistakes that AI, trained on huge amounts of existing code (including insecure code), might repeat.

It’s estimated that maintaining poorly structured code can cost 2-3 times more than maintaining clean code, though this varies depending on the project. The point is that the cheapest option today isn’t always the most cost-effective choice over the life of the website.

AI handles individual pages, but websites need integrated systems

The low upfront cost of AI code generation is one thing. But there’s another important difference to talk about: the way AI approaches building websites versus what businesses might really need.

Let’s discuss this on the example of a typical business website. These types of websites usually need to connect with different tools. This can be email marketing platforms like Mailchimp or HubSpot, or tools like Stripe or PayPal to process payments. All these parts need to work together reliably. Developers approach these projects thinking about how all these connections work. On the other hand, AI generates individual pieces of code without necessarily understanding how they fit into the larger picture.

For a simple landing page, AI can probably handle it. But if you need a membership site that connects to a CRM, handles payments, and manages different user types, that needs someone thinking about the whole system. Many would agree that AI tools aren’t really set up to do that kind of planning yet.

Custom requests are harder for AI

This system-level thinking becomes especially important when clients need features that don’t come standard. AI tools work well for common features that appear on most websites. But when a client needs something built specifically for how their business operates, AI tends to struggle.

For example, a real estate agency might need a property search that filters by school districts, commute times to specific addresses, and upcoming zoning changes. A B2B manufacturer might need a quote system where pricing adjusts based on order volume, delivery location, and whether the customer has a contract. These kinds of features require understanding the business logic behind them. In other words, something bigger than simply generating a search form or login page.

Other situations where AI might struggle include:

• Custom CRM connections that determine how a company actually sells
• Analytics that track specific metrics the business cares about
• Sites that need to handle lots of visitors without slowing down

In these cases, AI might create something that looks right at first. But there’s a high chance that it might break when you try to use it with real data or real users. 

Your agency’s reputation depends on the work quality

Another factor that’s worth considering is that when an AI-built site breaks, loads slowly, or leaks data, clients won’t blame the tool. When problems happen, clients need someone who can explain what went wrong and how to fix it. They need someone who understands their business and can turn that into technical solutions. It wouldn’t be an exaggeration to say that it’s always better to count on real people who can say, “I’ve seen this before, and here’s what we should do.”

At WLA, we’ve built relationships with agencies over years, sometimes over a decade. These relationships exist because real people, like Anna overseeing maintenance, or our developers in Ukraine, take responsibility for their work.

This is something we think about a lot at WLA. Developers carry accountability and long-term responsibility that AI doesn’t have, at least for now. If something goes wrong with a website we built, our team is there to fix it and prevent it from happening again. 

The winning approach: partnership, not replacement

AI tools are changing how developers work and making some tasks faster, that’s for sure. They help write standard code more quickly and can be great for repetitive work. But completely replacing human expertise in coding creates risks for quality, security, and client trust.

The best way to incorporate AI into development is to see it as an assistance tool. Developers can use AI to explore different approaches to a problem, generate initial code structures, and automate repetitive tasks that would otherwise take hours of routine work. That way, they spend less time on basic tasks and more time on the parts that actually matter: ensuring security, building custom features, and making sure everything works together properly.

Here is how you can look at it:

1. AI speeds up initial development and routine tasks
2. Developers ensure quality, security, and proper structure
3. Clients get faster results without sacrificing reliability
4. Agencies can handle more work while keeping standards high

From what we’ve seen, this approach gets better results than either extreme. Sites built this way launch faster than fully manual development, but avoid the maintenance headaches and security risks that come from relying too heavily on AI-generated code.

Need WordPress help?

If you also think that developers still play an important role, we’d be happy to support you with our human expertise. We offer white-label WordPress services to marketing agencies, taking care of the development side, so your team can stay focused on clients and strategy. It’s simply a way to add reliable technical capacity without the overhead of hiring full-time developers.

If it sounds useful, feel free to reach out to our sales team. We’d be glad to have a conversation about whether WLA could be a good fit for your agency.