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The AI-Native Engineering Moat and Why Same-Tool Teams Pull Apart
Two teams running the identical Cursor or Claude Code installation can produce wildly different output; the gap almost always traces back to one thing. This part covers the extensibility layer: skills, subagents and Agent Teams, rules, MCP, the emerging ACP standard, plugins and hooks. Tool selection is a thirty-minute decision; building this layer is a six-month investment that compounds into a real competitive moat.
Blog
•Jun 26, 2026
A Guide for CEOs to Accelerate AI Excitement and Adoption
The age of AI is here. As the CEO, your leadership is crucial to driving AI transformation. Discover how active executive engagement in AI adoption leads to competitive advantage.
WWT Research
•Apr 13, 2026
NANOG 89: Why Internet Governance Matters
Here is my takeaway from attending the 89th conference of the North American Network Operators' Group (NANOG 89).
Blog
•Oct 31, 2023