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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DEV Community

I Taught an Open-Source SEO Tool to Check Whether Your Site Is Readable by AI Agents

Most SEO audit tools still ask the questions search engines cared about ten years ago: is your title tag the right length, do your images have alt text, is your sitemap valid. Those still matter. But a growing chunk of how people find content now goes through an AI assistant instead of a search results page, and almost no audit tool checks whether your site is even reachable by one. I picked up an open issue on open-seo (an open-source Semrush/Ahrefs alternative) to close that gap, and it turned

opensourcetypescriptwebdev
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ExternalSoftware Engineering
DEV Community

Architecting Android Geofencing Without Draining the Battery

It happened during a quiet afternoon at the community center. I was sitting in the third row, the silence was absolute, and then it started—the blaring, high-pitched default ringtone of my phone vibrating against the wooden pew. Every head in the room turned. My face went hot as I scrambled to silence the device, eventually just cutting the power entirely. It was one of those moments that makes you feel incredibly unprofessional, despite it being a simple, human oversight. I had forgotten to mut

androidkotlinmobiledev
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ExternalSoftware Engineering
DEV Community

VIDRAFT Releases Aether-7B-5Attn: A Fully Open-Source MoE LLM with Five Heterogeneous Attention Mechanisms

VIDRAFT Releases Aether-7B-5Attn: A Fully Open-Source MoE LLM with Five Heterogeneous Attention Mechanisms TL;DR: Korean AI startup VIDRAFT has released Aether-7B-5Attn, a 6.59B-parameter Mixture-of-Experts foundation model on Hugging Face under Apache-2.0 — shipping not just weights but training data recipes, full training code, hyperparameters, training logs, intermediate checkpoints, and evaluation code. If you care about reproducibility, sovereign AI, or heterogeneous attention research,

opensourcellmmixtureofexpertsheterogeneousattenti
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ExternalCloud
Google Cloud Blog

Why AI apps fail in production (And how Google solved it)

We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the time to go from a blank IDE to a functional local application has dropped from quarters to hours. You can build your wildest ideas over a cup of coffee. But inside an enterprise ecosystem with rigid infrastructure and millions of users, vibe coding hits an invisible wall. Your local prototype falls apart against corporate networks, cascading errors, or getting blocked by leadership terrifi

AI & Machine LearningDevelopers & Practitioners
Google Cloud BlogRead original
ExternalSoftware Engineering
DEV Community

Your Dataset Loader Is Safe Now. Your Dataset Parser Might Not Be.

Until mid-2024, this line could execute arbitrary Python from a stranger's repository: from datasets import load_dataset ds = load_dataset("hails/mmlu_no_train", "abstract_algebra") If the repo contained a same-named .py file, load_dataset ran it. No flag, no prompt. JFrog documented this at Black Hat in 2024. That is fixed. It has been fixed for a while, and the fix was thorough. What wasn't fixed is the other side of the wire, and last week that side got someone into Hugging Face's production

securitypythonai
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