Languages & Runtimes

Language ecosystems, compilers, runtimes, package managers, performance, and best practices.

  • 11 Subtopics
  • 7 Tracked terms
  • Last 30 days Feed window
Search within this topic Ask AI about this topic All topics

Inside Languages & Runtimes

Python Data, web, automation, packaging, async, and performance for Python stacks. JavaScript, TypeScript & Node JS runtimes, TypeScript, tooling, and the modern web/server JS ecosystem. Java & Kotlin JVM releases, Spring ecosystem, build tooling, and performance. C & C++ Systems, embedded, toolchains, and modern C/C++ evolution. C# & .NET .NET releases, ASP.NET, MAUI/Blazor, and cross-platform tooling. Go Go releases, modules, concurrency patterns, and backend tooling. Rust Rust editions, Cargo ecosystem, async runtimes, and performance. PHP Modern PHP, frameworks, Composer, and production patterns. Ruby Ruby, Rails, jobs, tooling, and performance changes. Swift & Objective-C Apple platform languages, SwiftUI, and toolchain evolution. SQL, Shell & Data Science SQL, Bash/PowerShell, and scientific computing languages for analysis and ops.

What this topic collects on

An article joins this feed when it matches these terms. Each one is also a search of its own.

Latest in Languages & Runtimes


dexa.ag > blog > website-trends-2027

8 website trends for 2027 and their impact on digital experience

2+ day, 8+ hour ago   (1636+ words) Not long ago, talking about website trends meant talking about layouts, color palettes, and templates. Those topics still exist, but they've moved away from the center of the conversation. What's at stake for 2027 runs deeper: how a digital experience is…...


dev.to > magopredator > thalmle-v002-experimental-t-hal-mle-con-evidencia-verificada-116a

thalmle v0.0.2: experimental T-HAL-MLE con evidencia verificada

1+ hour, 28+ min ago   (1298+ words) En una frase: Un paquete R que implementa un método estadístico avanzado (T-HAL-MLE) para estimar cómo una dosis de tratamiento afecta un resultado, con código abierto, licencia AGPL-3.0-or-later y resultados experimentales documentados. El proyecto sigue un flujo de verificación…...


dev.to > sergey_shinder_ab2d943365 > every-deploy-told-our-autoscaler-that-traffic-had-gone-up-forty-times-48k

Every deploy told our autoscaler that traffic had gone up forty times

9+ min ago   (459+ words) For four months every deploy of our search API scaled it from fourteen pods to its maximum of sixty... Tagged with sergeyshinder, observability, prometheus, kubernetes. For four months every deploy of our search API scaled it from fourteen pods to…...


dev.to > sikamikanikobg > i-ran-a-125b-model-on-three-rtx-3090s-at-80-tokenss-by-teaching-llamacpp-which-experts-matter-4ioi

Qwen3.8-Flash-Next (125B) on Three RTX 3090s at 80 Tokens/s: Teaching llama.cpp Which Experts Matter

5+ min ago   (997+ words) Quality stays close to the 8-bit reference: +1.9% perplexity, 91% same next token, GSM8K 95.5% (the 27B scores 95–96.5% on the same harness). There's also a 256k-context profile that finds a random code hidden 173,000 tokens deep. The trade-offs are real, and I've listed them. Everything is…...


dev.to > kareem411 > how-we-built-a-3-tier-nodejs-cache-that-hits-28m-opssec-and-never-drops-a-key-on-eviction-1bkb

How We Built a 3-Tier Node.js Cache That Hits 2.8M ops/sec (And Never Drops a Key on Eviction)

22+ hour, 54+ min ago   (510+ words) Caching in Node.js usually forces a frustrating compromise. You either stick with a basic in-memory Map (or LRU-cache) that risks running your process out of memory (OOM) under heavy loads, or you accept the network latency floor and serialization…...


dev.to > sikamikanikobg > my-gpu-was-busy-i-finally-found-out-who-was-using-it-1pkg

My GPU Was Busy. I Finally Found Out Who Was Using It.

13+ min ago   (645+ words) The Local LLM Lab — Part 10 One controlled experiment. One number. One verdict. Every homelab has a moment like this: the GPU is at 100%, the fan is screaming, and you have no idea which of the twenty services on the box…...


dev.to > firfircelik > python-315-is-not-a-speed-release-for-data-teams-it-is-an-operations-release-5fbo

Python 3.15 Is Not a Speed Release for Data Teams. It Is an Operations Release.

12+ min ago   (1366+ words) Python 3.15.0 shipped on October 9, 2026 (release post). The headline number most people will repeat is in the JIT section of What's New: a "7-8% geometric mean performance improvement" over the standard interpreter on x86-64 Linux, and 11-12% on AArch64 macOS. For a data team, the…...


dev.to > shazara556 > building-a-zero-downtime-dual-tier-cache-combining-in-memory-maps-with-amazon-dynamodb-in-4o16

Building a Zero-Downtime Dual-Tier Cache: Combining In-Memory Maps with Amazon DynamoDB in TypeScript

11+ min ago   (207+ words) When building real-time clinical AI systems and temporal digital twin simulators, latency and resilience are not just performance metrics—they are hard reliability requirements. Every clinical evaluation or simulation needs sub-millisecond repeatability, but cloud network hiccups or unprovisioned tables should…...


dev.to > bar_dror_a3d32cb94b1 > pointers-and-memory-in-c-and-c-without-the-fear-5442

Pointers and Memory in C and C++, Without the Fear

22+ min ago   (1346+ words) Originally published on Code Beneath. In Java, you think in references. In Go, the language decides whether a value lives on the stack or heap, and you rarely care. In C++, you decide, and you see the consequences immediately. Let…...


dev.to > bar_dror_a3d32cb94b1 > http-keep-alive-and-connection-pooling-measured-1la1

HTTP Keep-Alive and Connection Pooling, Measured

23+ min ago   (700+ words) Originally published on Code Beneath. Keep-alive solves this by keeping the TCP connection open after the response. The next request reuses the same socket, skipping the handshake. Connection pooling takes this further: instead of sharing a single connection (which becomes…...