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A real CompletableFuture chain, rewritten into StructuredTaskScope, plus the JDBC cancellation gap nobody’s fixed yet. Java developers who learned concurrency on CompletableFuture ...
22. The Best Distributed Lock Is Often No Lock at All By now, we've explored distributed locks, leases, fencing tokens, leader election, and consensus. Each of these mechanisms e...
Ever since Swift Concurrency was introduced, its main mission has been clear: keep memory safe without making us write callback hell. But if we’re being honest, context switching-s...
JDK 24 removed the monitor-related carrier-thread pinning that stalled Netflix and similar teams on Java 21. What has replaced it on JDK 25 LTS is downstream-resource saturation: T...
Reliable orchestration for small language models depends less on model sophistication than on the durability of event flow and state. Under the assumptions used here — small model...
Need to perform asynchronous operations and support multitasking in your app? Async/await is at your service — simple and elegant. The cooperative thread pool efficiently switches...
The theory behind why some distributed computations are safely coordination-free, and how to spot which ones are. Every distributed systems engineer eventually runs into the same w...
The constraint system stops a bad call before it leaves the JVM. The Safe Codebase Audit Pipeline stops bad code before a client ever loads it. What remains is identity: who is cal...
The concrete problem Running two or three coding-agent sessions is easy. Knowing when their work is safe to combine is not. One session changes an API while another writes regre...
Modern backend applications handle thousands or even millions of requests every second. Users perform actions simultaneously: buying products, transferring money, updating profiles...
Modern enterprise software design has fundamentally shifted away from monolithic, single-threaded runtimes toward decoupled, containerized architectures. When building systems that...
A practical guide to adding durable task state, pull-based workers, deterministic CI, checkpoints and safer automation to a coding-agent scheduler.
Every “actor” you’ve used, Erlang’s, Akka’s, Kotlin’s, descends from a single 1973 formalism. What survived the trip from language primitive to library is not the same in each case...
Virtual threads are supposed to make blocking cheap. That is the whole promise of Project Loom: keep the simple thread-per-request style, but let the JVM mount and unmount those li...
Asynchronous processing pipelines are a cornerstone of modern distributed systems, but wiring them together reliably can be complex. A typical pipeline built with queues or message...
Parallel coding agents create a concurrency problem before they create a productivity gain. Two autonomous processes that edit the same checkout can overwrite files, invalidate ass...
A game wallet often starts as a single balance field. That is fine for a prototype, but payment retries and unreliable networks quickly make the number hard to trust. A player can...
CRDTs let replicas merge concurrent edits without coordination. The catch is what it costs to keep them talking to each other, and how delta-state CRDTs quietly fix it. Coordinatio...
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