ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Languages & runtimes · #clojurescript
Learn how to use ClojureScript’s core.async channels to build non‑blocking, composable data streams in the browser. A step‑by‑step example, trade‑offs, and practical checks are included.
Learn how to effectively use the js/ prefix, #js literals, and goog.object to bridge the gap between ClojureScript's immutability and JavaScript's native objects.
Diagnose and fix ClojureScript advanced‑build ReferenceErrors caused by missing externs, with checks, fixes, and escalation steps.
Learn how defonce and static namespace requires let you keep state across figwheel reloads while still benefiting from advanced Closure Compiler dead code elimination.
Learn how to define requirements, create the smallest viable ClojureScript build with :advanced optimizations and externs, enforce trust boundaries, run operational checks, anticipate failure modes, and know when to adjust the design.
Learn how to eliminate state synchronization bugs in ClojureScript using the re-frame pattern's unidirectional data flow, centralized DB, and optimized subscriptions.
Persisting form validation state in a ClojureScript frontend requires capturing the current validation data, storing it durably across reloads, and restoring it so users see the same error messages and field statuses after navigation. Key considerations include identifying where validation results are held (e.g., an atom or Re‑frame db slice), choosing a ser
In ClojureScript applications using Reagent, accessibility (a11y) requirements often necessitate precise control over focus transitions, such as moving focus to a modal header or returning it to a triggering element after a close event. While js-interop allows direct calls to .focus() on DOM elements, this imperative approach operates outside the declarative
Execution Latency in Single-Threaded Event Loop ClojureScript inherits the single-threaded event loop architecture of its host environment. When handling concurrent requests, operations are interleaved rather than executed in parallel. This design creates a potential bottleneck when CPU-intensive computations are performed within the main execution path. Int