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 โ a 25ร performance boost. Hereโs how AI-assisted refactoring transformed the page and the development process.
Artificial intelligence isnโt just changing how we write codeโitโs 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…
In this post, weโll explore how to use GitHub Copilot to generate Java code and unit tests with minimal manual input. Using a real-world exampleโa mortgage calculator serviceโyouโll see how Copilot can help write both the core logic and the corresponding unit tests. Whether youโre new to AI-assisted development or curious about Copilotโs capabilities in a Java environment, this tutorial will give you practical insight into how it worksโand where human oversight still matters.
This post walks through a hands-on experiment in agentic development using an AI-powered digital twin embedded in the IDE. See how a single, well-structured prompt enabled the agent to implement a real user story, generate behavioral tests, and prepare Git commit documentationโwith minimal developer input. Includes real-world code samples, implementation insights, and a candid look at what worked, what didnโt, and where human oversight is still essential.
In this guide, we’ll show you how to leverage Ollama, a popular tool for local LLM execution, and the Continue VS Code extension to create a powerful coding environment. Follow along, and you’ll be running AI-powered code suggestions in no time!