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Databases were not designed for the agentic space. It is not about supported data types and algorithms, but rather about the assumptions on which they were built. All databases were designed assuming human-written applications, predictable queries, intentional writes, short-lived connections, and careful developers sitting in the loop. I wrote an essay on how agentic AI is quietly breaking the implicit contract that databases were designed around. In this article, I break down which parts of the database are failing, why it matters for reliability and safety, and what patterns we can adopt right now to make our databases better suited for AI-driven workloads. If you are building systems where AI agents can read, write, or operate on databases, this essay will give you a useful mental model. Give it a read.

잘 하는 팀은 AI 시대에"도" 잘 하는 듯. 너무 좋다... 아니 미쳤다. Cline 때부터 브라우저는 될 듯 말 듯, 안 되는 영역이었는데 이제는 정말 웹앱 QA 잘 하기 시작했다. 그냥 저장소 주고 알아서 디버깅해보라고 하면 너무 잘함... github.com/vercel-labs/agent…

I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code.

You need to rewrite your CLI for #ai #agents! justin.poehnelt.com/posts/re…