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Artificial intelligence has fundamentally changed how we build websites. If you're still doing things the way you did five years ago, you're already behind.
After 20+ years of building websites, I've seen plenty of "revolutionary" technologies come and go. AI is different. It's a fundamental shift in how we approach problem-solving, coding, and delivering value to clients.
The Current State of AI in Web Development
AI tools have moved far beyond the novelty stage. They're now essential parts of my daily workflow.
The integration of AI into web development isn't replacing developers—it's amplifying the ones who know how to use it effectively.
My Daily AI Toolkit
GitHub Copilot for real-time code suggestions. Claude Code for architecture decisions and debugging. ChatGPT-4o for documentation and planning. Cursor for full project context. v0 (Vercel) for UI generation and rapid prototyping.
Each tool has its sweet spot. Copilot is my go-to for writing standard React components. Claude handles tougher architectural questions.
Code Generation: What's Changed
The way we write code has transformed completely. Five years ago, I'd spend hours on boilerplate. Now, I describe what I need and get a working first draft in seconds.
But here's what many developers miss: the real value isn't in generating code faster—it's in exploring more solutions.
AI-Powered Testing
Testing has always been the boring part of development. But AI has made this significantly more bearable and actually useful.
Modern AI testing tools can generate test suites automatically, identify edge cases, maintain tests as your code evolves.
Design to Code
One of the biggest bottlenecks in web development has always been the handoff between design and development. AI tools have dramatically shortened this bridge.
The key is knowing when to stop letting AI make decisions. AI is great for getting 80% of the way there. The final 20%—the polish, edge cases, accessibility—still needs human judgment.
The Human Touch: What AI Can't Do
AI can write code, but it can't understand a client's business model, their target audience, or their competitive landscape. It can't build relationships with stakeholders.
These human skills—empathy, communication, business acumen—are becoming more valuable, not less.
Preparing for an AI-Augmented Future
Learn to direct AI effectively. Develop strong fundamentals. Focus on unique value. The developers who thrive will be those who embrace AI as a partner rather than a threat.