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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 5

Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 5

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv7/14/2026
Recently

ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark

Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource. Building such a resource is challenging for three reasons: cross-platform hotel names must be reconciled before interactions are comparable; quality must be audited with reproducible metrics rather than ad hoc cleaning; and public release must preserve privacy while remaining benchmarkable under realistic cold-start conditions. com, Traveloka, and Ivivu. Authors: Minh Hoang Nguyen.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Recommender-system research for Vietnamese remains limited by the absence of a public, well-documented hotel interaction resource.

Primary paperarxivcs.IR
Original
Artificial Intelligence / Machine Learning
arXiv7/14/2026
Recently

Real-time fall detection based on vision for low-power edge platforms

Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches predominantly frame it as static pose classification or discrete temporal pattern matching, fundamentally overlooking the instability dynamics of the human support system. This paper proposes a physics-informed falling detection framework that recasts falling as a stability-loss event in a coupled dynamical system. We introduce a novel dual-LTC architecture comprising a Center-of-Mass (CoM) subsystem and a Base-of-Support (BoS) subsystem, both instantiated as Liquid Time-Constant (LTC) neural networks to continuously model inertial trajectory evolution and ground-contact adjustment through adaptive time constants, Physical interpretability of falling motion. Authors: Wenjun Xia, Zhicheng Peng, Haopeng Li.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Falling detection is vital for elderly care and intelligent surveillance; however, prevailing vision-based approaches predominantly frame it as static pose classification or discrete temporal pattern matching, fundamentally overlooking the instability dynamics of the human support system.

Primary paperarxivq-bio.NC
Original
Artificial Intelligence / Machine Learning
arXiv7/15/2026
Recently

Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education

This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation. It aims to enhance earthquake preparedness and conscious action among primary-school students. The system extends the award-winning STEM project Earthquaker moving from mechanical simulation with Lego WeDo2 to cognitive and metacognitive processing. Authors: Xanthi Kokkinou, Chaido Mizeli, Nafsika Koulaxidou.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv7/13/2026
Recently

A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol

Institutions collect far more open-ended teaching-evaluation feedback than they read. A prior study introduced a validated protocol for classifying such comments by thematic category and sentiment, built from a documented annotation guide, an intra-annotator reliability measurement, stratified cross-validation, and a held-out evaluation on a Spanish institutional corpus with a frozen-encoder design. Two questions limit its reuse: whether a protocol fixed to 2019-era frozen embeddings stays competitive as representation methods advance, and whether it transfers to a second language. Authors: Esteban U. Vega Barajas.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Institutions collect far more open-ended teaching-evaluation feedback than they read.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog7/14/2026
Recently

Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning

The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when... The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when everyone starts from the same open model, benchmark, infrastructure and evaluation constraints? The response was massive.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when...

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Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv7/15/2026
Recently

Agent Skill Security: Threat Models, Attacks, Defenses, and Evaluation

Reusable skills are becoming a fundamental building block of Large Language Model (LLM) agents, enabling capabilities to be packaged, shared, and reused across diverse applications. However, existing security research primarily focuses on prompt injection and runtime execution, leaving security risks throughout the broader skill lifecycle largely unexplored. In this paper, we present SkillSec-Eval, a lifecycle-aware framework for systematically evaluating the security of reusable agent skills. Authors: Sanket Badhe, Priyanka Tiwari.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Reusable skills are becoming a fundamental building block of Large Language Model (LLM) agents, enabling capabilities to be packaged, shared, and reused across diverse applications.

Primary paperarxivcs.CR
Original
Automation / Agentic Systems
arXiv7/15/2026
Recently

The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce

The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-directed agents capable of executing purchasing decisions, the conventional understanding of consumer-brand relationships requires a structural reevaluation. By synthesizing extant literature across human-machine teaming, consumer decision-making, and algorithmic trust dynamics, we demonstrate that traditional loyalty models fail to account for algorithmic bounded rationality and constructed autonomy. Authors: Sai Srikanth Madugula, Peplluis Esteva de la Rosa, Daya Shankar.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms.

Primary paperarxivcs.SI
Original
Automation / Agentic Systems
arXiv7/15/2026
Recently

Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0

Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and the resulting improvement is reported as if it were a stable property of the method. This does not test the setting that matters for deployed agents, where optimization is applied recursively as new failures and new tasks appear over time. The central question this raises is whether optimizer-driven gains compound: after an agent has been optimized once, can it be optimized again on newly arrived tasks without eroding the gains the first round produced? Authors: Wenxiao Wang, Priyatham Kattakinda, Soheil Feizi.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and the resulting improvement is reported as if it were a stable property of the method.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv7/15/2026
Recently

Early Adoption of Agentic Coding Tools by GitHub Projects

Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositories to investigate (1) the adoption of agentic coding tools, (2) project-level agentic PR productivity, and (3) human-agent collaboration patterns. Authors: Maliha Noushin Raida, Daqing Hou.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development.

Primary paperarxivcs.SE
Original
Automation / Agentic Systems
arXiv7/15/2026
Recently

ProfMalPlus: Agent-Coordinated Detection of Malicious NPM Packages via Static-Dynamic Analysis Synergy

Open source software is vulnerable to supply-chain attacks through transitive dependencies, especially malicious code injected into NPM packages. Existing detectors often inadequately model obfuscated behavior, overlook JavaScript's object-centric features, poorly coordinate static and dynamic analysis, and lose semantic information during behavior abstraction. We propose ProfMalPlus, a malicious NPM package detector combining object-sensitive behavior graphs with coordinated LLM reasoning over annotated code slices. Authors: Yiheng Huang, Zhijia Zhao, Bihuan Chen.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Open source software is vulnerable to supply-chain attacks through transitive dependencies, especially malicious code injected into NPM packages.

Primary paperarxivcs.SE
Original

Archived section

Research Papers · 5

Research Papers
arXiv7/15/2026
Recently

HORCRUX: A Complete PQC RISC-V eXtension Architecture

This work presents a compact RISC-V extension for Post-Quantum Cryptography (PQC) called HORCRUX, which provides a unified Instruction-Set Extension (ISE) supporting all NIST-approved PQC algorithms. HORCRUX addresses the difficult trade-off between crypto-agility, high performance, and low resource consumption in constrained environments, a balance typically missing in hardware extensions that focus on limited PQC subsets. By targeting shared kernels across ML-KEM, MLDSA, SLH-DSA, HQC, and Falcon, the extension introduces new RISC-V instructions executed by a resource-efficient, tightly coupled coprocessor. Authors: Alessandra Dolmeta, Valeria Piscopo, Michael Hutter.

Why it matters

Read this for the paper's specific claim in Research Papers: This work presents a compact RISC-V extension for Post-Quantum Cryptography (PQC) called HORCRUX, which provides a unified Instruction-Set Extension (ISE) supporting all NIST-approved PQC algorithms.

Primary paperarxivcs.CR
Original
Research Papers
arXiv7/14/2026
Recently

GraphPolaris: A System for Query, Analysis, and Visualization of Graph Databases

Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looker. They capture complex relationships between entities, processes, and events, enabling analysis of information propagation in networks. As a result, graph analysis is central to applications such as fraud detection, social influence analysis, and supply chain resilience. Authors: Michael Behrisch, Sjoerd Vink, Leonardo Christino.

Why it matters

Read this for the paper's specific claim in Research Papers: Graph databases are increasingly adopted as alternatives to tabular, aggregation-focused data models used in business intelligence (BI) systems such as Tableau, Power BI, and Looker.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/14/2026
Recently

Sensing the properties of virtual objects without physical feedback

People who have interacted with simulated worlds and simulated objects in extended reality (XR) often have a sense that they can 'feel' the objects being simulated despite them not being physical. Our sense of touch is essential for how we 'feel' the physical world, however, there is an open question as to what it means to 'feel' virtual objects when interacting with them in immersive digital environments. In prior research, we have reported that participants often describe a subjective experience of 'feeling' the properties of simulated molecular objects while using interactive molecular dynamics in extended reality (iMD-XR), a field-based interaction paradigm for manipulating real-time simulations of molecular objects without haptic feedback. Authors: Rhoslyn Roebuck Williams, Harry J. Stroud, Luis E. Toledo.

Why it matters

Read this for the paper's specific claim in Research Papers: People who have interacted with simulated worlds and simulated objects in extended reality (XR) often have a sense that they can 'feel' the objects being simulated despite them not being physical.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/13/2026
Recently

Supporting Reflection in LLM-based Exploratory Search

Large Language Models (LLMs) can make exploratory search more efficient but may undermine the reflection and iterative sensemaking needed in unfamiliar domains. Existing LLM tools often prioritize rapid answers over supporting users in tracking how their understanding evolves and how well their strategies align with their goals. We present TrailLM, a system that helps users reconstruct and revisit their exploration paths to support reflection and metacognitive engagement during information seeking. Authors: Giulia Di Fede, Salvatore Andolina.

Why it matters

Read this for the paper's specific claim in Research Papers: Large Language Models (LLMs) can make exploratory search more efficient but may undermine the reflection and iterative sensemaking needed in unfamiliar domains.

Primary paperarxivcs.HC
Original
Research Papers
arXiv7/14/2026
Recently

CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects

Digital objects express emotions through different modalities. For example, a movie may include visual scenes, audio, dialogue, and facial expressions, while a song may contain melody, rhythm, lyrics, and vocal tone. Because existing emotion recognition models are usually modality-specific, it is difficult to compare such objects directly. Authors: Elnara Kadyrgali, Muragul Muratbekova, Pakizar Shamoi.

Why it matters

Read this for the paper's specific claim in Research Papers: Digital objects express emotions through different modalities.

Primary paperarxivcs.HC
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv7/15/2026
Recently

Industrial Dexterity Benchmark: A Hardware-Software Benchmarking Platform for Industrial Dexterous Manipulation

Dexterous manipulation remains a critical bottleneck in industrial automation; tasks such as cable routing, connector insertion, and precision assembly still rely heavily on manual labor despite decades of robotics research. This work presents a progression from classical, modular robotics pipelines toward an end-to-end multimodal imitation-learning framework for industrial dexterous manipulation. As a part of this work, we introduce three key contributions: a set of Industrial Dexterity Benchmark (IDB) boards aimed to mimic datacenter cable management, automotive cable harnesses, and gearbox assembly tasks; a scalable imitation learning framework (DAG-ROS); and a multimodal diffusion-based policy framework (AG-iDP3) that creates models fusing RGB images, point clouds, joint positions, and wrist-frame wrench data. Authors: Honglu He, Jacob Laufer, Zhiwu Zheng.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Dexterous manipulation remains a critical bottleneck in industrial automation; tasks such as cable routing, connector insertion, and precision assembly still rely heavily on manual labor despite decades of robotics research.

Primary paperarxivcs.RO
Original
Embedded Systems
Raspberry Pi News7/15/2026
Recently

Run Ultralytics YOLO on Raspberry Pi with OpenVINO

A practical guide to deploying Ultralytics YOLO computer vision models on Raspberry Pi with OpenVINO. The post Run Ultralytics YOLO on Raspberry Pi with OpenVINO appeared first on Raspberry Pi.

Why it matters

Read this for the official technical update in Embedded Systems: A practical guide to deploying Ultralytics YOLO computer vision models on Raspberry Pi with OpenVINO.

Official sourceRaspberry Pi AIAI
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Embedded Systems
NVIDIA Technical Blog7/15/2026
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Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3

For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It's a small but stubborn primitive that... For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication.

Why it matters

Read this for the official technical update in Embedded Systems: For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication.

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Embedded Systems
Hackster.io7/14/2026
Recently

This DIY E Ink Display Brings Local Bird Sightings to Your Wall

Birdwatching involves a lot more than a pair of binoculars these days. Apps can identify birds by sight or sound, online databases track sightings from around the world, and AI can help classify species. But despite all of that technology, there is still something special about the traditional illustrated field guides used by generations of bird enthusiasts.

Why it matters

Read this for the engineering context in Embedded Systems: Birdwatching involves a lot more than a pair of binoculars these days.

Trusted source
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Embedded Systems
Hackaday7/16/2026
Recently

Chromatography as Art

You may or may not remember in some ancient chemistry class studying or even performing chromatography. The short definition is using media like paper or powder to separate a mixture.

Why it matters

Read this for the engineering context in Embedded Systems: You may or may not remember in some ancient chemistry class studying or even performing chromatography.

Trusted sourceArtScience
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Archived section

Computer Systems · 5

Computer Systems
arXiv7/14/2026
Recently

Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications

This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France. The symposium covers high-level approaches to parallel programming: programming models, languages, libraries, algorithmic skeletons, compilers, and runtime systems for multi-core, GPU, and distributed platforms. The 2026 edition extended this scope towards artificial intelligence, with new topics on the parallel programming and performance of AI systems and on AI-assisted generation of parallel code, and opened with a dedicated session on parallelism and AI. Authors: Chong Li, Corinne Ancourt, Gaétan Hains.

Why it matters

Read this for the paper's specific claim in Computer Systems: This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 2026 at the Institut Henri Poincare in Paris, France.

Primary paperarxivcs.DC
Original
Computer Systems
arXiv7/13/2026
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Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers?

Can large language models perform deep technical comprehension of computer architecture papers -- not summarization, but structured critique that names the core mechanism, surfaces buried assumptions, and connects a contribution beyond its own scope? We study Gauntlet, an open-source pipeline that analyzes a paper through five independent expert-persona reviewers and an adversarial synthesis stage. On 20 ISCA 2025 and HPCA 2026 papers, ten researchers each wrote their own analyses and then judged, for papers other than their own, the human analysis against Gauntlet's. Authors: Nishant Aggarwal, Ayushi Dubal, Sreeraj Kannakarankodi.

Why it matters

Read this for the paper's specific claim in Computer Systems: Can large language models perform deep technical comprehension of computer architecture papers -- not summarization, but structured critique that names the core mechanism, surfaces buried assumptions, and connects a contribution beyond its own scope?

Primary paperarxivcs.CY
Original
Computer Systems
arXiv7/13/2026
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HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS

With deep neural networks (DNNs) increasingly deployed on edge devices, hardware (HW)-aware optimization techniques--such as HW-aware compression and HW-aware neural architecture search (HW-NAS)--have become essential. These methods rely on real feedback from the target hardware to tailor DNN architectures for efficient deployment. While the search can be parallelized, latency measurements via hardware-in-the-loop (HIL) remain a bottleneck due to their sequential nature. Authors: Shambhavi Balamuthu Sampath, Behzad Shomali, Nael Fasfous.

Why it matters

Read this for the paper's specific claim in Computer Systems: With deep neural networks (DNNs) increasingly deployed on edge devices, hardware (HW)-aware optimization techniques--such as HW-aware compression and HW-aware neural architecture search (HW-NAS)--have become essential.

Primary paperarxivcs.LG
Original
Computer Systems
LWN.net7/15/2026
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Topics in filesystem testing

It should come as no surprise that a gathering of filesystem developers would discuss filesystem testing; it has been a mainstay of the Linux Storage, Filesystem, Memory Management, and BPF Summit over the years and the 2026 summit was no exception. Ted Ts'o led the discussion this time; he had a few different topics to raise, including his perception of increasing regressions for ext4 in the stable kernels and what can be done to help reduce them. As with other similar sessions at the summit over the years, there is a lot of interest in collaborating on test inputs and outputs, but finding a way to centralize that information has so far eluded the filesystem community.

Why it matters

Read this for the concrete reporting in Computer Systems: It should come as no surprise that a gathering of filesystem developers would discuss filesystem testing; it has been a mainstay of the Linux Storage, Filesystem, Memory Management, and BPF Summit over the years and the 2026 summit was no exception.

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Computer Systems
CNCF Blog7/14/2026
Recently

Is a Pod the right deployment unit for an AI agent?

When we first started building kagent, we didn't run every agent in its own Kubernetes Pod, Service, and ServiceAccount. Instead, agents were simply executed inside the kagent runtime. It was the simplest architecture possible: one runtime...

Why it matters

Read this for the official technical update in Computer Systems: When we first started building kagent, we didn't run every agent in its own Kubernetes Pod, Service, and ServiceAccount.

Official sourceBlog
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Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
GitHub Blog7/15/2026
Recently

GitHub for Beginners: Your roadmap to mastering the GitHub essentials

New to GitHub? This beginner's guide explains version control, repositories, and pull requests—plus everything else you need to start working confidently on GitHub. The post GitHub for Beginners: Your roadmap to mastering the GitHub essentials appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: This beginner's guide explains version control, repositories, and pull requests—plus everything else you need to start working confidently on GitHub.

Official sourceDeveloper skillsGitHub
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Developer Tools / Open Source
arXiv7/15/2026
Recently

VisualRepair: Dynamic Tool Calling and Region Focusing for Visual Software Issue Repair

Automated Program Repair (APR) has witnessed significant progress with the advent of Large Language Models (LLMs). However, as modern software systems increasingly expose rich graphical user interfaces, effectively leveraging visual information from bug screenshots has become essential for understanding bugs and generating accurate fixes in multimodal scenarios. Real-world issue reports frequently contain heterogeneous visual attachments including UI screenshots, IDE snapshots, GIFs, and text-centric images, each with distinct visual patterns and domain-specific semantics that impose substantial perceptual demands on MLLMs. Authors: Jingyu Xiao, Zhongyi Zhang, Haoran Hou.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Automated Program Repair (APR) has witnessed significant progress with the advent of Large Language Models (LLMs).

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog7/14/2026
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Vercel Workflows trace viewer now has a minimap

Vercel Workflows Drag the viewport to pan, resize it to zoom, or drag across the minimap to select a new section. Click anywhere on the minimap to jump to that point, or scroll and use arrow keys to step through the run. The minimap is available in the trace viewer on Vercel and locally through the Workflow SDK with.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Vercel Workflows Drag the viewport to pan, resize it to zoom, or drag across the minimap to select a new section.

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Developer Tools / Open Source
Vercel Blog7/13/2026
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Chat SDK adds X adapter support

X adapter Teams can build bots that reply to public mentions and hold direct message conversations through the X API v2 and the. X Activity API Likes are the only supported reaction, and responses post once on completion since X has no native streaming.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: X adapter Teams can build bots that reply to public mentions and hold direct message conversations through the X API v2 and the.

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Developer Tools / Open Source
Vercel Blog7/14/2026
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Faster, predictable project linking in the Vercel CLI

The now resolves your team before discovering projects, then searches for projects only in that team instead of sweeping every team you belong to. Linking is faster and more predictable, and every command that establishes a link (, and ) follows the same flow:Vercel CLIvercel linkdeploypulldevgit connect For CI and agent workflows, setting and makes fully promptless, while or settles the team on any command. 0 or later with to get started.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: The now resolves your team before discovering projects, then searches for projects only in that team instead of sweeping every team you belong to.

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Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
CNCF Blog7/16/2026
Recently

Running a self-hosted LLM in Kubernetes with vLLM

Running large language model (LLM) workloads in-house is one of several patterns teams adopt alongside managed API services. Managed API services are convenient and well suited to many workloads. Self-hosting is a complementary option that some...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Running large language model (LLM) workloads in-house is one of several patterns teams adopt alongside managed API services.

Official sourceBlog
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Cloud / Infrastructure
Netflix Tech Blog7/13/2026
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Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan Fisher A deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work. Introduction In our first post, we introduced the problem: engineers at Netflix needed a unified, real-time view of service dependencies to troubleshoot faster, understand blast radius, and navigate our distributed architecture. We described our multi-source approach, combining eBPF network flows, IPC metrics, and distributed tracing into physically separate graph layers that can be queried independently or merged into a comprehensive view.

Why it matters

Read this for the engineering context in Cloud / Infrastructure: By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan Fisher A deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work.

Trusted sourcebackend-developmentdistributed-systems
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Cloud / Infrastructure
AWS Architecture Blog7/14/2026
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How Mapfre USA modernized fraud claims with Amazon EMR Serverless

Insurance fraud remains a significant challenge for the insurance industry because fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers. Traditional fraud detection approaches typically rely on rules-based controls, manual investigation triggers, historical claim patterns, and structured-data-only analysis.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Insurance fraud remains a significant challenge for the insurance industry because fraudulent claims can increase loss costs, reduce trust, and consume investigation capacity that could otherwise be focused on serving customers.

Official sourceAmazon EMRAmazon Managed Workflows for Apache Airflow (Amazon MWAA)
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Cloud / Infrastructure
AWS Architecture Blog7/15/2026
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How bitdrift scaled to 121 million concurrent gRPC connections on Amazon CloudFront for live telemetry sporting events

When 121 million mobile devices establish persistent gRPC connections to your origin infrastructure within seconds of a live broadcast, the routing policy behind your DNS records matters far more than it does at normal traffic levels.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: When 121 million mobile devices establish persistent gRPC connections to your origin infrastructure within seconds of a live broadcast, the routing policy behind your DNS records matters far more than it does at normal traffic levels.

Official sourceAmazon CloudFrontNetworking & Content Delivery
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Cloud / Infrastructure
Kubernetes Blog7/13/2026
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Kubernetes Dashboard to Headlamp: A Step-by-Step Guide

1. Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently. When Headlamp runs on the desktop, it uses your existing kubeconfig to connect to one or more clusters and can be extended with plugins.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Before you start: know what is changing Kubernetes Dashboard and Headlamp both show what is running in a cluster, but they work differently.

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