Concurrency Basics: Engineering for Vibe Coders
One of the easiest ways to accidentally create unstable software is building systems that work perfectly for one user but fail unpredictably when multiple things happen at the same time. Modern AI-assisted development makes it incredibly easy to build asynchronous workflows, agent orchestration systems, background jobs, and distributed applications. But concurrency introduces a different kind of engineering complexity where timing, shared state, retries, and ordering suddenly matter. In this article, we explore concurrency basics for vibe coders, including race conditions, shared state, retries, event ordering, observability, and the engineering habits that help systems remain reliable under real-world usage.
