Ai

The real bottleneck in AI-assisted development is no longer prompt quality. It is context management. Here is why orchestrator-worker systems outperform single-agent flows, and how ClawConnect puts that pattern to work.

When our team's coordination platform shut down, we didn't just replace it — we built an intentional network of AI agents that work together like a team.

Code generation is fast, but speed without stewardship creates fragile systems. The most valuable engineering skill right now is shaping the systems that produce the code.

Coding with AI is the new normal. Reviewing AI-written code is the new bottleneck.

AI is changing how product teams work, from the way we discover opportunities to how we deliver features. The fastest teams today are AI forward: they use AI...

Modern AI tools are transforming how we write, review, and ship code — but the real magic happens when you connect them into a structured, repeatable workflo...

In the rapidly evolving landscape of AI-assisted development, a powerful methodology is emerging that goes far beyond simple prompt engineering. Context Buil...

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 ...

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 dump...

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, a...

Software development has always evolved, from hand-written assembly code to powerful frameworks and libraries that streamline work. Now, AI-powered code gene...

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...