uv is a modern, Rust-powered package manager that brings speed, simplicity, and consistency to Python development. In this article, we break down what uv is, why it’s gaining traction, and how it improves dependency management, virtual environments, project setup, and overall workflow. We’ll also explore its limitations and walk through a quick example to help you understand where uv shines in real-world development.
Bridging the Communication Gap Between Software Teams and Business Stakeholders
Miscommunication between technical and non-technical teams leads to wasted effort, missed opportunities, and damaged customer trust. This blog breaks down why the gap persists, the real organizational cost, and practical ways to create shared language, aligned incentives, and value-driven collaboration. Learn how teams can transform communication into a strategic advantage.
From 38 Seconds to 1.5: A Claude Code Performance Win
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.
AI in Coding: Using ChatGPT and Copilot to Build JavaScript Animations
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…
How to Implement a Clean Service Layer in Flutter (With API Examples)
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.





