In 2024, something shifted: AI-native apps started taking off. And we realized that our architecture was uniquely well-suited to power them. We leaned into agent-focused development, and within a few months, over 80% of databases were being created by AI agents rather than humans.
One skill every ML engineer has to master โ
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Yes. And do you know why?
Because good ML system design has NOT changed at all in the last 5 years.
And it won't.
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Architecture represents a common abstraction of a system that most, if not all, of the systemโs stakeholders can use as a basis for creating mutual understanding, negotiating, forming consensus, and communicating with each other. The architectureโor at least parts of itโare sufficiently abstract that most nontechnical people can understand it to... See more
Data engineering is a difficult role to break into.
There are WAY TOO MANY tools, solutions and skills that DEs are expected to know.
You don't have to learn everything all at once.
But if you are looking to read on some data engineering topics, here are 7 great... See more