GOGC, GOMEMLIMIT, and the Write Barrier: How the Go Garbage Collector Really Paces Itself
Ask most Go developers how the garbage collector works and you’ll get one of two answers: “it’s concurrent and low-pause”
Ask most Go developers how the garbage collector works and you’ll get one of two answers: “it’s concurrent and low-pause”
Every `npm install` is an act of trust. You are executing code written by strangers, versioned by strangers, published through
A slow query arrives. Someone runs EXPLAIN ANALYZE, pastes the output into a search engine, and a verdict comes back:
Continue readingReading EXPLAIN ANALYZE Like a Planner: A PostgreSQL Field Guide
Every LLM serving stack lives or dies by one data structure most developers never see: the KV cache. It is
Continue readingThe KV Cache: Why LLM Serving Is a Memory Problem
Rate limiting looks like a solved problem until the day your API runs on more than one machine. The in-memory
Continue readingDistributed Rate Limiting in Go: Token Buckets, Redis, and the Fail-Open Decision
Every modern large language model you use is almost certainly a Mixture-of-Experts model. Mixtral, DeepSeek-V3, GPT-OSS, the latest Kimi and
Continue readingInside Mixture-of-Experts: Routing, Load Balancing, and Why 671B Parameters Cost 37B
Here is one of the oldest bugs in distributed systems, still shipping to production every week: a service commits a
Every Go service that talks to PostgreSQL ends up managing a pool of database connections, and almost every team gets
Every test suite has a hidden layer of confidence that coverage numbers never touch. A line can be executed by
Continue readingMutation Testing in 2026: Stop Trusting Coverage, Start Killing Mutants
Most teams treat “thinking mode” as a switch. Turn it on and the model reasons through the problem step by
Continue readingThinking Inertia: Why LLMs Don’t Stop Reasoning When You Tell Them To