A sluggish ASP.NET page with 3,850 checkboxes was taking 38 seconds to load. By collaborating with Claude Code and shifting to client-side rendering, load times dropped to just 1.5 seconds — a 25× performance boost. Here’s how AI-assisted refactoring transformed the page and the development process.
Artificial intelligence isn’t just changing how we write code—it’s transforming how we think about creativity in development. In this post, I revisit the playful spirit of early programming through a series of AI-assisted experiments using ChatGPT, GitHub Copilot, and JavaScript Canvas on CodePen. Along the way, I uncover practical lessons for developers on using AI to accelerate learning, inspire exploration, and rekindle the joy of creative coding…
Working within a software development team has tremendous benefits, but it also comes with its share of complications. One of those complications is inertia – the more people who get used to a process or a certain set of tools, the more difficult it can be to introduce changes. Maybe this manifests in a positive way, where repetition and familiarity …
This blog walks through building a clean, modular service layer in Flutter to keep mobile apps scalable, maintainable, and resilient to change. Using real examples with third-party APIs, it demonstrates how to abstract logic, structure code for API calls, and easily swap data sources without major rewrites. You’ll also learn strategies like creating request/response classes and centralizing error handling to reduce redundancy and improve code quality.
It’s common to face challenges around long-running workflows, state management, and resiliency when you’re building cloud-native applications. Traditional approaches like background services or message queues might work sometimes, but they often require a lot of “glue code” and custom retry logic. This entails not only more work up-front for the developer, but also more maintenance in the long run.
That’s where Azure Durable Functions come in.