The best way to understand PostgreSQL internals is to build something that forces you to interact with them.
Found this amazing deep dive on writing PostgreSQL extensions. It starts from the basics and gradually takes you into how Postgres actually works under the hood.
If you’re trying to go beyond SQL and understand Postgres at a deeper level, this is a great read.
https://t.co/efukZ7LXfA
Turns out agents are amazing at SQL. Almost unreasonably good.
The combination of:
1) Keep all necessary context in postgres, sqlite, mysql, duckdb, etc. Slack messages. Action logs. Whatever.
2) Apply constraints. Scoped permissions, views, result-set caps, low timeouts.
3) Give the agent credentials + schema. Let it rip.
Just because writing complex SQL queries to get answers from data used to be arduous, doesn't mean it still is.
Great talk from @NotTuxedoSam on this.
https://t.co/yfAIH8YUmj
@hakandogu Anthropic duyurusu guzel ama bu yeni degil, IBM zaten “watsonx code assistant for Z” urunu ile cobol modernizasyonunu zaten sagliyordu. Bir dilin diger bir dile cevrilmesi degil asil is. Burda asil vazgecilmez olan donanim, ve 99.99% ile 99.99999% availability arasindaki fark.
@vanessahlarson A lot of people around me faced the same. Many given few days and not thinking to visit europe again. All effort and money only for few days? Sorry but there better ways to spend money.
Organizations now spend more on inference than the initial cost of training AI models.
The ongoing deployment and operational costs are redefining budget allocations in AI development. #AI
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