A beginner's guide to MCP Apps - the extension that brings interactive user interfaces to Model Context Protocol, allowing servers to deliver rich visual experiences beyond plain text.
I just open sourced git-rewrite-commits, a tool that uses AI to fix your messy git commit messages automatically. Here's how it can save you from embarrassing commit histories before going public.
The rise and quiet decline of Google's Agent2Agent protocol, and why the Model Context Protocol won the AI agent communication race.
Follow along as we build a React hook from scratch using AI-powered vibecoding. This interactive guide demonstrates the iterative development process with real-time diffs and improvements.
Discover how to embed beautiful, interactive AI prompts directly into your blog posts and websites using prompts.chat/embed - a powerful tool for sharing AI conversations.
An in-depth exploration of advanced Model Context Protocol features including progress tracking, cancellation, completions, logging, and more with practical implementation examples.
An exploration of why the Model Context Protocol is moving from Server-Sent Events (SSE) to Streamable HTTP transport, the benefits of this change, and what developers need to know for future MCP implementations.
Explore how the new MCP Elicitations protocol standardizes interactive AI workflows by enabling servers to collect structured user input dynamically, building upon AI-generated UI concepts.
Explore how AI-generated user interfaces could make A/B testing obsolete by creating personalized, adaptive UIs for every user in real-time, fundamentally transforming how we approach frontend development.
AI coding agents are getting smarter every day, making many developers worried about their jobs. But here's why good developers will do better than ever - by being the important link between what people need and what AI can do.
GitHub's new coding agent takes AI-assisted development to the next level by addressing the human problems of laziness and excuses, fully automating repetitive tasks and enforcing best practices through autonomous coding capabilities.
After 17 years in the industry, I've seen how AI tools not only make developers faster but also fix the human problems that led to poor code quality, missing documentation, and inconsistent practices.
