When AI Kills the Execution Moat: What Business Models Survive?
The traditional entrepreneurial advice to ‘find a painful problem and solve it’ assumes execution is hard. As AI makes execution cheap and accessible, this a...
The traditional entrepreneurial advice to ‘find a painful problem and solve it’ assumes execution is hard. As AI makes execution cheap and accessible, this a...
We’re going from campfires to solo tents—and calling it progress. How AI agents are changing the fundamental patterns of human collaboration that made us suc...
MCP’s first year taught me that protocol success depends less on technical brilliance and more on governance decisions. Here’s what the core maintainers got ...
GitHub Copilot now supports Agent Skills—structured, reusable instructions that teach AI how to perform tasks consistently. Here’s how they fit into the emer...
When building agent systems, it’s tempting to adopt every promising pattern. Here’s how GitHub’s built-in primitives—Issues, PRs, and instruction files—made ...
Once you’ve learned the basics of agent instruction hygiene, what changes when you’re running 10, 20, or 100 agents? Here’s what the research says about mult...
Someone asked: ‘If agents are just markdown files, how do you build a mobile card game?’ The answer is ‘you don’t’—but that’s changing faster than most peopl...
Most developers write agent instructions like code comments—scattered and inconsistent. Here’s the research-backed pattern that works for maintainable, effec...
Git is great for memory, but GitHub adds the primitives that make agentic workflows actually work: Issues for tracking, PRs for review, Actions for automatio...
Today’s announcement of MCP joining the Linux Foundation’s Agentic AI Foundation marks a pivotal moment for open protocol governance. Here’s why this matters...