AI gets you 70% there — I get you to the finish line.
Your AI coding agent built a working demo in a weekend. Impressive. But production systems need security, scalability, proper error handling, and architecture that won't collapse under real users. That's where decades of experience matters.
Web apps, mobile apps, desktop apps, distributed systems spanning the full stack. I know the difference between code that demos well and code that ships.
AI tools don't understand your business constraints or how to structure an app that scales. I help startups leverage AI while building production-quality systems.
Your demo handles 10 users. What happens at 10,000? Architecture reviews, performance optimization, and capacity planning from real-world experience.
Your team uses AI coding tools. Let's teach them when to be skeptical. Code reviews, testing strategies, and building teams that ship quality software.
Experience: Decades building web, mobile (iOS/macOS), desktop applications, distributed systems, and network software. The judgment to know when to add complexity versus when to keep things simple.
For startups: If you're using AI to move fast, I can help you move fast and build something that lasts.
The promise is intoxicating: AI coding tools that boost developer productivity by up to 55%. The reality is more sobering. While generative AI can dramatically accelerate code creation, recent research reveals it's simultaneously creating a new category of technical debt that compounds faster than traditional development approaches, often remaining invisible until systems begin to fail.
The challenge of constraining AI-generated CSS to follow design systems has led to sophisticated approaches using multi-level design token hierarchies. Rather than allowing LLMs to generate arbitrary CSS values, these systems create structured constraints that force AI tools to select from predefined, semantically meaningful tokens.
The web's approach to user privacy preferences has evolved significantly since the failed Do Not Track (DNT) standard. Global Privacy Control (GPC) represents the next generation of privacy signaling, one with actual legal teeth and growing industry adoption. For developers building web applications in 2026, understanding and implementing GPC isn't just good practice; it's becoming a legal requirement.