This guide explains the simple file structure of a Claude Skill, compares it with CLAUDE.md, shows where to store skills at personal, project, or plugin level, and provides detailed best‑practice tips, code examples, and validation steps for creating effective, on‑demand AI agent skills.
This guide explains how to use Nginx's built‑in limit_req and limit_conn modules to implement production‑grade rate limiting, covering leaky‑bucket theory, IP and API‑key based limits, burst and nodelay handling, whitelist bypass, custom error responses, dry‑run testing, memory sizing, and the inherent limitations that may require Redis‑Lua or OpenResty extensions.
The article details a visual redesign of the long‑running Taobao interactive game Baba Farm, introducing a surreal “everything‑tree” concept powered by AI to transform static fruit‑on‑tree mechanics into a unified “product‑as‑tree” experience, outlining three development phases, UI hierarchy optimizations, and narrative‑driven feedback to re‑engage users.
The article introduces the TRS (Thinking with Reasoning Skills) framework, which distills historical LLM reasoning traces into reusable skill cards, enabling offline skill‑base construction and online retrieval that dramatically reduces token consumption (6‑59%) and often improves accuracy on math and coding tasks.
During a mid‑year promotion an e‑commerce platform experienced a sudden spike in load average and response latency; the article walks through a systematic, command‑driven investigation that identifies an I/O bottleneck caused by mis‑configured log rotation and excessive debug logging, and presents immediate and long‑term remediation steps.
This article explains Linux Load Average’s definition, how the three numbers are calculated, their relationship with CPU and I/O, practical interpretation rules, step‑by‑step troubleshooting workflows, monitoring setups, and optimization techniques for both CPU‑bound and I/O‑bound load spikes.
This guide compiles the most frequently used Docker commands—covering basics, image handling, container control, volume management, networking, security, and additional utilities—providing clear screenshots to help developers boost deployment efficiency and resource management.
This guide walks through deploying the DeepSeek‑V4‑Flash model on Ascend NPU using Kthena’s ModelRoute, detailing the Prefill‑Decode (P/D) separation architecture, KV cache transfer via Mooncake, configuration of ModelServing and ModelRoute resources, and flexible scaling of Prefill and Decode replicas for optimal performance.
The article explains that AI agents’ forgetting and hallucinations stem from token‑level attention scores causing key‑value cache eviction before retrieval, then surveys KV‑cache basics, naive growth, streaming‑LLM windowing, SnapKV’s attention‑guided compression, token‑retention studies, Memory Sparse Attention, compares these methods, and discusses practical system pitfalls and design implications.
The article explains why streaming output is essential for responsive LLM agents, compares batch and streaming latency, details the five LangGraph streamMode options with code examples, shows how to combine them, and lists common pitfalls to avoid runtime errors and poor user experience.
The article dissects Claude Code’s built‑in five‑layer permission architecture, explaining why a single check is insufficient, how each layer (Hooks, Deny Rules, Permission Mode, Allow Rules, canUseTool) works, the engineering trade‑offs, performance concerns, and practical recommendations for secure AI agent deployments.
VEGA-3D extracts the hidden 3D priors embedded in large video generation models, fuses them with semantic features via token‑level adaptive gating, and demonstrates dramatically higher multi‑view consistency and state‑of‑the‑art results on 3D scene‑understanding benchmarks such as ScanRefer, ScanQA, VSI‑Bench and LIBERO—all without any additional 3D annotations.
Ghostty, the popular open‑source terminal with over 52 000 stars, is migrating away from GitHub because frequent platform outages—especially a two‑hour GitHub Actions failure—have crippled the maintainer’s workflow, prompting a broader developer backlash over GitHub’s shift toward AI‑driven growth at the expense of reliability.
This article walks through ten mainstream open‑source large‑model benchmarks—SWE‑bench Verified and Pro, MMLU‑Pro, GPQA Diamond, HLE, AIME, HMMT, olmOCR‑bench, Terminal‑Bench 2.0, and EvasionBench—explaining their data, evaluation metrics, current leading models, and the capability dimensions they reveal.
Xiaohongshu transformed its data platform from a simple ClickHouse‑based analytics stack to a unified lakehouse with generic incremental compute, cutting architecture complexity, resource cost, and development effort by roughly one‑third while supporting petabyte‑scale, sub‑second queries across its 350 million‑user app.
In a stark address at the World Digital Conference, Geoffrey Hinton warned that only about 1% of AI research focuses on safety while the $4.8 trillion market races ahead, critiquing the term AGI, outlining three classes of AI risk, and highlighting the dangerous concentration of AI power and resources worldwide.
This comprehensive guide walks you through installing Hermes Agent, configuring over 20 model providers, setting up the Skill system, enabling MCP client/server modes, and connecting the agent to 17 messaging platforms, while also covering execution back‑ends, security settings, and troubleshooting tips.
This comprehensive Redis guide covers its role as a core component in large‑scale architectures, explains common use cases, walks through installation and configuration options, details all primary data structures with commands and examples, and explores persistence, transactions, Lua scripting, replication, Sentinel, and cluster modes.
The article outlines a systematic reverse‑engineering process for legacy systems that extracts factual system knowledge, organizes it into AI‑consumable context, and integrates the workflow into a continuous delivery loop to improve AI draft accuracy and team cognition.
Redis 8.0 consolidates many previously external modules—JSON, time‑series, vector search, probabilistic data structures, and more—into a single package, and this article walks through 16 concrete scenarios ranging from field‑level cache expiration to AI‑ready vector similarity search, showing exact commands and when to prefer each feature.
