Flecs v4.1, an Entity Component System for C/C++/C#/Rust is out!

Bit of background: Flecs is an MIT licensed entity component system (ECS). ECS is a design pattern used mostly in game development that favors composition over inheritance. An ECS can be implemented in a way that optimizes utilization of the CPU cache, and allows for late-binding behavior to game entities without having to resort to dynamic dispatch. To find more...
What Can We Learn From History’s Most Bizarre Software Bugs?

“I’ve always been fascinated by how much we humans run on autopilot,” Mia Bajić says in an email interview. So last month for PyCon US 2025, the EuroPython Society vice chair identified “the most bizarre software bugs in history.” And sometimes they were even delightfully illustrated with stick figures… But Bajić — who is also a software engineer at data-management platform Ataccama...
How to Make Claude Code Use Other Models

submitted by /u/stackoverflooooooow [link] [comments]
A practical guide to creating Slowly Changing Dimensions Type 2 in dbt | Part 1

Many companies are using the Kimball dimensional modelling framework to model their data and will undoubtedly think of, or are already using Slowly Changing Dimensions Type 2 (SCD2) models. It is one of the most common approaches to model historical data for analytical purposes. It is so common that today’s most popular analytics engineering tool dbt (data build tool) has...
Presentation: Beyond Durability: Database Resilience and Entropy Reduction with Write-Ahead Logging at Netflix

Transcript Karumanchi: We are going to be talking about write-ahead log, which is a system that we have built over the past several months to enhance durability of our existing databases. I'm Prudhvi. I'm an engineering lead on the caching infrastructure at Netflix. I've been with Netflix for about six years. I'm joined by Vidhya, who is an engineering lead on...
LinkedIn Announces Northguard and Xinfra: Scaling Beyond Kafka for Log Storage and Pub/Sub

LinkedIn just announced Northguard — a new log storage system designed to replace Kafka at LinkedIn’s scale (32T records/day). It's built with sharded metadata, log striping, and self-healing clusters, plus Xinfra for seamless Kafka migration. It's a really cool example of distributed systems engineering. submitted by /u/estiller [link] [comments]