Perspectives on Building Better Teams

Thoughtful articles on engineering, support, and the realities of growth

May 29, 2026Build Faster

Inside the Workflow of an AI-Native Engineer

I have been writing software for over a decade. In that time, I have watched the tooling landscape shift more dramatically in the last three years than in the previous seven combined. Every team I talk to now has some version of “we use AI tools” in their engineering culture. What most of them actually mean is: their engineers have Copilot installed and occasionally accept a suggestion. That is not the same thing as being AI-native. The gap between those two things is where most of the shipping

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Inside the Workflow of an AI-Native Engineer
May 13, 2026Keep Operations Running

How the Best Hosting Teams Are Scaling Smarter

When was the last time a client left because your product failed, and it was actually your support team that let them down?  For hosting companies, that question cuts differently than it does for most businesses. Your product and your support are not two separate things. They are the same thing. When a server goes down at 11pm, when a cPanel migration breaks mid-transfer, when a client's ecommerce site stops responding on the busiest shopping day of the year, the quality of your response in tho

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How the Best Hosting Teams Are Scaling Smarter
May 12, 2026Keep Operations Running

How a TeamScaler Engineer Closed an Eight-Month Security Gap on Day One

When did someone last look at your hosting infrastructure like they’d never seen it before?  This is a story about what was quietly sitting in one hosting company's environment, and what happened the moment a fresh pair of experienced eyes walked in. The environment before the engineer arrived The client was a mid-sized web hosting company serving several hundred US businesses across shared hosting, VPS, and dedicated server packages. Their Linux and cPanel stack was managed by a tight inte

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How a TeamScaler Engineer Closed an Eight-Month Security Gap on Day One
May 11, 2026Build Faster

How AI-Native Engineers Catch What AI Gets It Wrong

Have you ever watched a junior developer ship code that looked perfect on the surface, only to discover three weeks later that it had been silently breaking things the whole time?  That is what working with AI tools feels like for most engineering teams right now. The output looks clean. The syntax is correct. The logic appears sound. And then something breaks in production that should never have broken, and the post-mortem reveals that nobody actually questioned whether the AI got it right. 

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How AI-Native Engineers Catch What AI Gets It Wrong