Explains how to fix actor-isolated protocol conformance errors in Swift 6.2, focusing on @MainActor usage and avoiding data races.
Analyzes a subtle data race bug in a Go web server middleware, explaining the cause and fix for a concurrency issue without typical synchronization constructs.
Explores naming conventions for mutexes in Go codebases and introduces structural search tools like ast-grep to analyze patterns.
Explains the Double-Checked Locking pattern in Java for thread-safe lazy initialization, covering its pitfalls and correct implementation.
Overview of the revamped structured concurrency API in Java 25, a key feature for managing concurrent tasks with virtual threads.
Explains Go's singleflight package for preventing duplicate work during concurrent requests, improving backend efficiency.
Explores using Swift's defer keyword to manage resources in async and throwing functions, improving code safety and elegance.
Explains Java's new Lazy Constants feature for safe, one-time initialization of immutable values, covering benefits and internal workings.
Explores Swift's concurrency model, focusing on Actors, GlobalActors, and MainActor for safe, data-race-free programming.
Explains scoped values, a new Java 24 feature for safe and efficient thread-local data sharing, as previewed in the Inside Java Newscast.
Java 24 reduces virtual thread pinning in synchronized blocks, improving scalability, with details on remaining pinning cases and thread capture.
A guide to using Tokio's `join!` and `select!` macros for concurrent and parallel async operations in Rust.
A guide to using Tokio channels for sharing data between async tasks in Rust, covering MPSC, broadcast, and watch patterns.
A Swift developer details unexpected crashes in Swift 6 due to @unchecked Sendable and implicit actor isolation, offering solutions for concurrency-safe logging.
Explores methods for implementing background task processing and concurrency in Starlette-based web applications like FastAPI to avoid blocking on LLM API calls.
Explores challenges and solutions for testing asynchronous Swift code, focusing on avoiding random failures due to concurrency issues in Swift 6.
Explains single-threaded execution in Swift and its importance for UI responsiveness, as a foundation for concurrency ahead of Swift 6.
Explains why micro-benchmarks are often misleading for performance optimization and advocates for real-world profiling instead.
Explores techniques for implementing idempotent 'get or create' operations in PostgreSQL, covering race conditions, concurrency, and constraint handling.
Swift 6 introduces an opt-in compiler mode to detect and prevent data race conditions at compile time, enhancing concurrent programming safety.
