This article walks through a systematic network troubleshooting workflow on Linux, detailing how to use ss to inspect sockets, ip for routing and address information, tc for traffic control at the link layer, and ethtool for hardware diagnostics, with concrete command examples and practical tips.
A Japanese tax accountant runs a 60‑client practice without any staff by using a simple CLAUDE.md file to orchestrate AI‑driven accounting workflows, illustrating how domain experts can translate their work into structured, safe, and automated processes that run overnight.
Microsoft Research introduces SkillOpt, a method that freezes large‑model weights and instead trains a natural‑language skill document as the sole learnable parameter, using a rollout‑reflect‑edit‑gate loop, achieving optimal results across 52 benchmark‑model‑environment combinations and demonstrating strong transferability.
The article explains Anthropic's official 5K‑token limit for SKILL.md files, breaks down the three‑level loading architecture, demonstrates progressive disclosure with concrete token calculations, and provides a step‑by‑step refactoring guide that reduces token usage while improving skill accuracy.
Xiaomi Auto introduces a novel world‑model framework that tightly couples 3D reconstruction and generative prediction, delivering state‑of‑the‑art performance on Waymo and nuScenes benchmarks while enabling high‑fidelity, long‑duration video synthesis for autonomous‑driving scenarios.
The INTRA paper shows that using a decoder’s cross‑attention as an internal retrieval mechanism eliminates the need for a separate retriever, achieving state‑of‑the‑art multihop QA performance with only 164 K trainable parameters and shared pre‑encoded representations.
The article presents a real‑world migration case where a CPU‑XPU bottleneck limited inference QPS, explains how Btune 2.0’s new latency‑focused diagnostics pinpointed a kernel lock contention in the halolet component, and shows the AI Agent’s automated, cross‑process analysis that restored performance and reduced cost.
The article links Qian Xuesen’s 1954 work on engineering control theory to today’s challenges in large‑model training, arguing that a three‑step framework—ontology (defining what to control), control theory (designing how to control), and harness (accurate measurement)—is essential for reliable AI systems across domains such as medicine, law, and multimodal perception.
In the AI‑driven age, endless information streams overload our brains, turning attention into a critical health concern as anxiety rises, short‑video consumption soars, and platforms monetize every extra second of focus, prompting a need for concrete strategies to protect our mental well‑being.
The article explains how NVIDIA’s AI‑Q Blueprint packages a full deep‑research pipeline into a portable Agent Skill, letting developers add secure, on‑premise research capabilities to existing agent frameworks with minimal code while keeping sensitive enterprise data local.
This article walks through converting monolithic Ansible playbooks into modular roles, securing secrets with Vault, boosting concurrency for hundreds of servers, and delivering ready‑to‑run LNMP, LVS + Keepalived, system‑info, NTP, and bare‑metal initialization playbooks, complete with code examples and performance tips.
This article walks through creating a Netty‑based WebSocket server integrated with Spring Boot, covering server bootstrap, global channel management, pipeline configuration, a custom handler for client messages, and a push‑message service that can target individual users or broadcast to all connections, complete with code samples and testing steps.
The open‑source "claude-code-best-practice" project, which systematizes community‑verified Claude Code workflows, concepts, and 83 practical tips, amassed over 54,000 GitHub stars in just two months, offering developers concrete guidance to dramatically improve both front‑end and back‑end coding efficiency.
TiDB’s engineering team created Loop, a team‑oriented workspace that lets multiple AI agents cooperate like colleagues, addressing coordination problems such as broken context, manual state sync, overlapping work, and long‑task stability, and now offers a beta for early adopters.
Spring AI Alibaba extends Spring AI with a native agent and workflow framework, integrating Alibaba's DashScope models, ReactAgent, multi‑agent orchestration, Graph workflows, tool calling, memory handling, and production‑grade features, enabling Java developers to create sophisticated AI applications with just a few lines of code.
The author, frustrated by maintaining separate prompt and configuration files for each AI tool, discovered the open‑source PromptHub, which consolidates prompts, SKILL.md files, and AI‑tool configs into a local workspace and distributes them to over 15 editors with one click, while offering versioning, a skill store, sync options, and encryption.
This article compiles a comprehensive list of about 600 Linux commands covering system information, file and directory management, searching, mounting, disk usage, user and group handling, permissions, special attributes, archiving, package management, networking, and text editing, enabling users to handle the vast majority of routine Linux tasks efficiently.
This article benchmarks the peak memory usage of one, ten thousand, one hundred thousand, and one million concurrent tasks across Rust, Go, Java, C#, Node.js, Python, and Elixir, revealing surprising differences in runtime memory footprints and scalability.
This article walks through the core concepts of Spring AI Alibaba—including token mechanics, prompt structures, embedding, structured output, chat memory, RAG pipelines, function calling, and graph‑based multi‑agent workflows—while providing concrete code samples, configuration tips, performance tricks, and a curated list of common pitfalls.
This guide explains the fanout (publish/subscribe) pattern in RabbitMQ, compares it with other exchange types, clarifies common misconceptions, and provides a step‑by‑step Spring Boot implementation—including configuration, producer, multiple consumers, testing, and best‑practice recommendations.
