The landscape of coding agents tooling is fragmented, and there are no definitive winners.

Testing local LLM inference speed on consumer hardware — prefill, decode, and KV cache impact across three devices and two models.

Following a previous mistake, I find subqueries can beat CTE performance, but are still worse for the disk

Comparison of aggregation function speed, on the database and in a host language

EdgeDB is a layer above Postgres, as it uses it as the underlying engine. How can we harness the power of Postgres through this interface?