For high-throughput gRPC services, Go's garbage collector was once the silent killer of p99 latency—until Go 1.24 slashed stop-the-world (STW) pauses by 62% in our production benchmarks, cutting tail latency for 10k QPS services from 210ms to 79ms. ⭐ golang/go — 133,724 stars, 19,032 forks Data pulled live from GitHub and npm. Talking to 35 Strangers at the Gym (309 points) GameStop makes $5
This section is the map for the rest of the book. The five stages introduced in the 1.1 chapter overview (parse, analyze/rewrite, plan, portal, execute) are traced here through the actual code: which functions implement each stage, and in what order they get called. The mechanics of each of the five stages are unpacked in later chapters. Here, only the skeleton matters: how a backend starts up, ho
PostgreSQL Internals · Chapter 1 Query Processing Suppose a client sends SELECT * FROM users WHERE id = 1. The path that single line travels before coming back as a result row is longer than you might expect. Inside the PostgreSQL backend, that SQL goes through a five-stage pipeline. Backend entry and dispatch. The backend receives the message from the client and decides which processing path it s
Introduction I've been seeing more developers say that Codex has become easier to use, more cost-effective, or simply a better fit for some workflows than it used to be. This is not a "Claude Code is bad, everyone should switch" article. I still use Claude Code at work, and if cost were less of a factor in my personal setup, I would probably be using both more actively. If you're already comfort
Hello everyone! I wanted to write this article to share my experience with agentic coding without Claude and Codex, I started dabbling with agentic coding a few months ago when Claude had decent limits on the 20$ plan, You prompt the agent: I want e2e tests, and it will study the codebase and implement them. When I've started hitting limits on Claude code, and this is not a secret that they reduc