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@viktoriia-yarosh shared a post, 9 months, 2 weeks ago
Freshcode

How Clojure shapes teams and products. Part 2

Curious how Clojure shapes teams and products beyond the hype? Tune into episodes 5–10 of “Clojure in Product. Would you do it again?” to hear leaders from startups to enterprises share real stories on scaling, tackling complexity, and building sustainable, high-impact software with smaller, focused teams. Discover why Clojure isn’t just a language – it’s a game-changing approach to development. Listen now and see what thoughtful tech choices can do for your business!

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@laura_garcia shared a post, 9 months, 2 weeks ago
Software Developer, RELIANOID

🚨 Cyberattack on Qantas highlights growing threats to aviation

Up to 6 million customers affected via a third-party breach – allegedly linked to Scattered Spider, a group known for social engineering and supply chain attacks. 🔍 The lesson? The weakest link is often outside the organization. ✈️ At RELIANOID, we help airlines and critical services stay protected ..

Blog quantas breach Aviation Cyber Risks and Need for Proactive Defense
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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

“A Programmer Who Reads Is Worth Two”: Tech Books for Summer 2025

Crafting an LLM from the ground up? Dive intoSebastian Raschka’s guide. It tackles everything: data wrangling to toeing the ethical line. Seasoned ML pros will nod in approval. Craving a sharp take on AI’s charming deceptions?Narayanan & Kapoor's"AI Snake Oil" spills the beans on marketing myths wit.. read more  

“A Programmer Who Reads Is Worth Two”: Tech Books for Summer 2025
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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

10 Unspoken NestJS Secrets for Production at Scale

UnlockNestJSspeed by steering clear of full module preloads. This trick slashes cold start drags, cutting first request delays by up to10 seconds... read more  

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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

Asynchrony is not Concurrency

Asynchronyisn't a twin toConcurrencyin Zig. It juggles async tasks without leaning on multi-threading, letting sync and async mingle harmoniously. Concurrency craves overlap, but Zig's savvy. When resources get stingy, it smartly reverts tasks to synchronous, dodging drama like deadlocks or sudden c.. read more  

Asynchrony is not Concurrency
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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

How to catch GitHub Actions workflow injections before attackers do

GitHub Actions injections areone of the most common vulnerabilities in projects. Use CodeQL to scan workflows and protect against these risks effectively... read more  

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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

Containers: Everything You Need To Know

cgroupsand namespaces anchor Linux containers, isolating resources and processes like gatekeepers with a mission. On macOS and Windows, these containers ride in VMs withWSL2orLinuxKit, putting on their "welcome to the virtual world" hats. EnterrunC, executing OCI-built images with isolation flair, w.. read more  

Containers: Everything You Need To Know
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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

Crawling a billion web pages in just over 24 hours

Imagine tearing through1 billion pages in a single dayon a shoestring budget. This crawler pulled it off with12 nodes and some savvy async maneuvering. But here's the kicker: it wasn’t the fetching that choked the CPU. Nope, it was the parsing. Today’s web behemoths, bloated with JavaScript and othe.. read more  

Crawling a billion web pages in just over 24 hours
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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

Understand CPU Branch Instructions Better

Branch prediction matters. Why? About a quarter of instructions are branches, and modern CPUs nail an accuracyabove 90%. Yet, those often-pesky branches can choke CPUs, stalling instruction flow. So, take a wrench to yourif-else logic. Trim indirect branches whenever you can—your CPU will thank you... read more  

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@faun shared a link, 9 months, 2 weeks ago
FAUN.dev()

Exhausted man defeats AI model in world coding championship

A weary-eyed Polish coder,Przemysław Dębiak, bested an OpenAI model in a grueling 10-hour face-off, reminiscent ofJohn Henry’sepic duel against the steam-powered behemoth... read more  

Exhausted man defeats AI model in world coding championship
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.