Go releases, modules, concurrency patterns, and backend tooling.
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Every small Go service starts with the same chore list. You want to write the feature, but first you write the boring parts: structured logging, a metrics endpoint, health and readiness probes, configuration. None of it is hard. It is…
You build specialized microservices for data ingestion, reasoning, validation, and execution. Because these services run in separate Python processes or containerized environments to prevent global interpreter lock (GIL) contention, they need a communication protocol. The default industry approach is networking.
Originally published on Code Beneath. A naive shutdown looks like this: close the listener, exit the main function, the OS kills all goroutines, sockets close hard. Any client mid-read gets an EOF. Any server trying to write gets a broken…
There's a TypeScript pattern that looks perfectly safe at first glance: Nothing obviously wrong here. The function has a return type. The HTTP status is checked. TypeScript knows what a User should look like. But there's a problem hiding in…
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass. It's 4 PM on a Saturday. Someone in the group chat writes "we should go for a walk". Three people react with a thumbs up. Nobody goes. The…
A company hands you a Go codebase nobody in-house can read. The team is strong in its main language, but Go is an island. And the code runs in production, every night, with a customer consuming the API. I am…
Sixth in a series on using @relax.js/core with a coding agent. This is the piece I said in the first article bothered me enough to fix. The previous two articles are about catching it at runtime, in a…
Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Submission 💸 This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Gnosk is the third option. Deterministic validators run first — regex, Verhoeff checksums, provider-format patterns — and a local Gemma 2B model…
Vinted is one of the biggest second-hand fashion marketplaces in Europe, and its public catalog is useful for price tracking, brand research, and spotting what actually sells in a niche. There is no official public product API for third-party tools,…
Pinterest is quietly one of the best datasets for anyone working in e-commerce, home decor, food, or fashion. Saves are a pretty honest signal of what people actually want to buy or make, and they show up weeks before a…