Kimsia
@kimsia
Kimsia
CNN Explainer
poloclub.github.io
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.
Neon and Databricks - Neon
age-of-agents and agentic
Course syllabus for ml eval
One skill every ML engineer has to master โ
๐ ๐ ๐ฆ๐๐๐๐ฒ๐บ ๐ฑ๐ฒ๐๐ถ๐ด๐ป
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.
๐ช๐ต๐... See more
Pau Labarta Bajosubstack.comdata engineering and llm
Every architecture, no matter what it is, partitions possible changes into three categories: local, nonlocal, and architectural.
- A local change can be accomplished by modifying a single elementโfor example, adding a new business rule to a pricing logic module.
- A nonlocal change requires multiple element modifications but leaves the underlying
Paul Clements โข Software Architecture in Practice, 4th Edition
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
Paul Clements โข Software Architecture in Practice, 4th Edition
helps with communiation among stakeholders
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
SeattleDataGuysubstack.com