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The TIOBE April 2025 programming‑language ranking reveals that former top‑20 languages Kotlin, Ruby and Swift are slipping in popularity, while cross‑platform frameworks like Flutter rise, and legacy "dinosaur" languages such as Delphi, Fortran, Ada and COBOL quietly re‑enter the top‑20 list.
The article examines why several once‑popular programming languages—including Ruby, Visual Basic, Haskell, Perl, and Objective‑C—are losing relevance due to performance, ecosystem shifts, and lack of innovation, and predicts they may fade away in the coming two decades.
The gRPC 1.53.0 release introduces a series of core improvements, language‑specific enhancements for C++, C#, Python and Ruby, as well as bug fixes and new APIs, providing higher stability and performance for modern high‑performance RPC applications.
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NGINX Unit 1.25.0 introduces TLS session caching and ticketing, client IP header replacement, manual application restart control, Ruby lifecycle hooks, and a series of bug fixes that improve stability and compatibility for web applications.
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This weekly roundup covers a Chinese open‑source JD seckill script topping GitHub trends, a severe Btrfs slowdown in Linux 5.10, native Linux WeChat for UOS, Flash Player removal, Mi 11 kernel open‑source, Ruby 3.0 launch, record app‑store spending, Linux ported to Nintendo N64, DeepMind's MuZero AI, and Huawei's leading Linux‑5.10 contributions.
The article examines why Ruby, Visual Basic, Haskell, Perl, and Objective‑C are losing popularity and argues that without community and vendor support these languages may fade away over the next two decades, while newer languages continue to dominate development.
Ruby 3.0, released as promised on Christmas, brings three‑times performance gains over Ruby 2, introduces MJIT, the experimental Ractor concurrency model, a static type system via RBS, a new Fiber Scheduler, and several syntax enhancements, with code examples illustrating these features.
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Ruby 3.0.0 Preview 1 introduces RBS for static type definitions, experimental Ractor for actor‑model concurrency, and a new Scheduler API for lightweight thread management, accompanied by examples and a list of supported synchronization methods, highlighting the language’s evolving capabilities.
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