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Languages & runtimes · #clojure
Discover how ClojureScript’s :advanced mode can shrink JavaScript bundles by 30‑70 % through dead‑code elimination, what to configure, and how to avoid common pitfalls.
Clojure’s STM lets you manage shared mutable state safely with Refs, dosync, and alter. This guide shows how to atomically update refs, test concurrency, and avoid common pitfalls like side‑effects and long transactions.
Learn how Clojure transducers let you build efficient, composable pipelines without creating intermediate collections. A practical example, performance comparison, and checklist guide you from lazy seqs to transducer‑based processing.
Pick atom for independent synchronous state, ref for coordinated transactional state across multiple values, and agent for asynchronous decoupled work. A compact comparison and practical Clojure examples show when each primitive fits and what to watch for.
A decision guide comparing Clojure's core.async channels, agents, and futures for concurrent state, with a concrete agent‑based metrics example and validation steps.
Learn how Clojure transducers let you build reusable, lazy data pipelines without intermediate collections, with a worked example, performance comparison, and common pitfalls.
An architecture note on using Clojure's core.spec to validate data at service boundaries, instrument functions in CI, and generate tests — with the smallest design that works and the failure modes to watch.
Transducers compose reducing functions into single-pass pipelines, avoiding intermediate collections. This article explains the mechanism, a worked example, and common pitfalls.
Transducers let you write a transformation once and run it over vectors, channels, or streams. Here is the mental model, a worked example, and when not to bother.
clojurescript
atom