llama.cpp vs vLLM vs SGLang: Choosing an Inference Engine You Can Self-Host
Three open-source engines, three different jobs. What each one is built for, the ideas that actually separate them, and how to decide for your own workload.
Posts
Browse by tag →What Actually Happens When You Quantize a Language Model
How shrinking a model's numeric precision cuts memory and speeds up inference, and exactly what you trade away to get there.
Where AI Actually Speeds Up Engineering Work (And Where It Doesn't)
A plain, honest look at this by task type, not another take on whether AI will replace engineers.
Reviewing AI-Generated Code Like You Mean It
The review habits that need to change when more of your codebase is written by AI.
Engineering Standards That Survive Contact With a Deadline
Most style guides and process docs get ignored the moment things get busy. Here is what makes some of them stick.
Event-Driven vs Request-Response: A Framework for Choosing
Not which pattern is better, but the real questions that should decide it.