Over the past year, AI has become a regular part of my development workflow. Like many developers, I initially used it to generate snippets or explain unfamiliar code.
That didn't last long.
Today, I use Claude as a development partner rather than a code generator. The biggest improvement hasn't been writing code faster—it's making better architectural decisions before writing code at all.
From "Write This Function" to "Design This Feature"
Instead of asking AI to generate a PHP function, I now start with higher-level questions:
- How should this feature be structured?
- What responsibilities belong in each class?
- Which parts should be reusable?
- What are the edge cases?
- How will this affect performance and future maintenance?
This shift has reduced the amount of code I rewrite later.
Breaking Large Features into Smaller Systems
When building a WordPress product, it's easy for features to grow into large, tightly coupled components.
Now I describe the entire feature to Claude and ask it to divide the implementation into logical modules.
For example, instead of building a complete page builder as one feature, I separate it into:
- Data layer
- Rendering engine
- UI components
- API layer
- State management
- Validation
- Settings
Working module by module keeps the project easier to maintain.
AI Is Surprisingly Good at Code Reviews
One workflow that has saved me a lot of time is asking Claude to review code I've already written.
Rather than asking "Is this correct?", I ask questions like:
- What would become difficult to maintain six months from now?
- Is this introducing unnecessary complexity?
- Are there hidden performance issues?
- Would another developer understand this structure?
The feedback is often more valuable than the generated code itself.
Documentation Becomes Easier
Writing documentation is rarely a developer's favorite task.
After implementing a feature, I ask Claude to generate:
- technical documentation
- README files
- developer notes
- API documentation
- release notes
I still review everything, but starting from a solid draft is much faster than writing from scratch.
AI Doesn't Replace Experience
The more WordPress experience I gained, the more useful AI became.
That's because I stopped expecting perfect code and started using it to challenge my own decisions.
AI can generate code quickly.
It cannot understand your product, your users, or your business goals unless you provide that context.
My Current Workflow
Today, a typical feature looks something like this:
- Define the product requirements.
- Discuss architecture with Claude.
- Break the work into smaller tasks.
- Implement the feature.
- Review the implementation with AI.
- Refactor where necessary.
- Write documentation.
- Ship.
This process hasn't eliminated debugging or difficult decisions, but it has significantly improved the speed and quality of product development.
I'm curious how other WordPress developers are using AI today.
Has AI changed your workflow beyond simple code generation?
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