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Watching AI product evolution from the sidelines makes you feel like things are going fast, but according to Anthropic's Gian Segato, that might not be the best metric.

This team was shipping production code at the same time as the MCP specification was taking shape. That is the reality of working with a technology that was evolving in real time.

When dozens of developers share the same environment and Git repository, testing changes quickly becomes chaotic. Here's how Kubernetes solves that.

A CTO with 20 years of experience through multiple tech shifts sees layoffs not as an AI effect, but as a correction after an unsustainable hiring boom. He sees AI as a reset: an opportunity for strong junior engineers, and a wake-up call for senior developers facing an existential shift in how they stay relevant.

There is a gap most engineering leaders prefer not to explore: the distance between the clarity they believe they're projecting and the confusion their teams actually experience.

The case for cutting junior engineers looks airtight at the CFO level, but wrong from every other perspective.

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