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Unlike traditional approaches that rely on iterative back-and-forth conversations with AI, Context Building invests time upfront to create a "perfect" context that equips the AI with everything it needs to generate accurate, actionable solutions immediately.

A couple of weeks ago, I wanted to test the bounds of agentic AI development workflows just as a fun exploration. I’d seen plenty of demos and played with a few basic examples, but this was my first real experiment to see if AI could handle meaningful dev work from start to finish. Short answer: it can (kinda - with some caveats). The process was as fascinating as the results.

If you want your AI coding assistant to actually “get” your project, great rules are non-negotiable. But writing effective Cursor rules isn’t just about dumping a list of do’s and don’ts—it’s about structure, clarity, and showing real patterns that match how your team works.

There’s something special about winding down with smart people, talking shop and life. Tonight, I got to catch up with Spencer, a dev who worked on some of my old projects after I left Razorfish. It was surreal to hear those projects were still in use. We talked about the tech behind them and the people who shaped my early career — things I built with Lauren Zugai (now at Firefox) and systems originally architected by my mentors, David Hezlep and Brad Tippet. It turned into a night of sentimental reflection, which got me thinking about just how far I’ve come.

I joined the Remix Austin meetup, hosted at HEB Digital’s downtown office, for a unique event called “Remix Rodeo.” The concept: form a team, pick an idea, and build something impressive in just one hour. Naturally, we chose to go big.

Medusa webhooks empower you to automate critical parts of your e-commerce workflow, enhancing efficiency and customer engagement. At Lambda Curry, we’ve developed a flexible Webhooks Plugin specifically for Medusa e-commerce stores. Today, we’ll guide you through setting up webhooks, using Happy Hippo Bakery’s real-world automation example as a practical reference.

Software development has always evolved, from hand-written assembly code to powerful frameworks and libraries that streamline work. Now, AI-powered code generation is taking center stage, and tools like Codegen are redefining how developers write, manage, and deploy code. But is Codegen truly the future of coding? Let's explore its capabilities and how it can transform the way we build software.

E-commerce is undergoing a transformation, and AI is at the center of it. As platforms evolve, the ability to integrate AI-powered workflows directly into store management systems is becoming increasingly valuable. In my latest project, I’ve been experimenting with Medusa 2, Anthropic’s Model Context Protocol (MCP), and Vercel’s AI SDK to create an AI-powered storefront experience.

Some friends in a coding chat I’m part of were asking about how to get better at AI-driven coding. They were wondering if the issues they were facing stemmed from a skill gap, poor prompts, a lack of understanding of the tools, or if the tools themselves just weren’t that good. It’s a fair question — especially when you see people online doing seemingly incredible things with AI. Are those people just better at prompting, or is there something deeper going on?