This article systematically reviews major LLM agent design patterns—including ReAct, CodeAct, static and dynamic planning, reflection, and human‑in‑the‑loop—detailing their core loops, code structures, trade‑offs, and practical use‑cases, and provides a decision tree to help developers choose the most suitable pattern for their tasks.
The article details how the team built a high‑performance, reliable cloud‑native gateway for millions of AI sandbox VNC sessions, addressing challenges of dynamic pod IPs, multi‑stage Web VNC traffic, session consistency, and security by using OpenResty, Lua scripts, Redis‑backed routing, cookie‑based state storage, and extensive Nginx tuning.
This article details the design and implementation of a high‑performance text content moderation system, covering the end‑to‑end workflow, the core Aho‑Corasick multi‑pattern matching algorithm, its double‑array Trie optimization, memory and speed benchmarks, and practical deployment considerations for large‑scale news client platforms.
The 2026 BCG Global Wealth Report shows Hong Kong surpassing Switzerland as the world's largest offshore wealth center, driven by its unmatched credibility and free‑capital policy, while highlighting Switzerland's credibility loss and the structural risks tied to mainland China.
The article details how Sina Weibo tackles rising operational complexity by evolving its traditional AIOps into a three‑step AI system—AI‑assisted coding, knowledge‑base and MCP tool foundations, and AI Agent deployment—showcasing multiple production scenarios, case studies, and lessons learned.
The article shows how recent advances in models like Gemma‑4 and GPT‑OSS have turned local LLM inference on a 2022 M2 Mac into a practical, near‑click‑ready workflow, complete with Docker‑based agent setups, performance observations, and detailed configuration code.
The article analyzes how world‑model AI, which predicts the next physical frame instead of the next word, is reshaping autonomous driving, highlights Momenta's three‑stage R7 architecture and massive data loop, compares its path with Anthropic's software‑only strategy, and projects a multi‑trillion‑dollar physical‑AI market by 2030.
Based on offer popularity, salary competitiveness, and long‑term development reputation over the past two to three campus hiring seasons, this ranking lists the fifteen most sought‑after internet companies for new graduates, highlighting each firm's key advantages and drawbacks.
OpenAI has partnered with Broadcom to launch Jalapeño, a purpose‑built AI inference ASIC designed in nine months, promising superior performance‑per‑watt, integrated networking, and a full‑stack AI hardware‑software optimization cycle that could lower inference costs and reshape future data‑center deployments.
At the 2026 ISC in Hamburg, China’s LineShine supercomputer, built entirely with domestically designed LX2 CPUs and a pure‑CPU architecture, achieved 2.198 EFlops sustained performance, securing the TOP500’s #1 spot and surpassing the US El Capitan by about 21%.
The article examines Loop engineering for AI agents, arguing that beyond entry points like Claude, Codex, or Mira, architects must ensure reliable feedback, persistent state, clear stop conditions, and human hand‑off, drawing parallels to high‑reliability SRE practices and proposing concrete design and evaluation steps.
Meta’s shift to an AI‑first strategy has triggered massive layoffs, a controversial employee‑monitoring program, forced transfers of thousands of engineers into a new Applied AI division, and resulting morale and product quality problems that threaten the stability of its flagship platforms.
This article benchmarks Kriging variants, Gaussian Process Regression, and several machine‑learning baselines on the SPE9 3‑D permeability dataset, revealing why GPR dramatically outperforms Kriging in accuracy despite their shared covariance‑kernel foundation, and explains the occurrence of negative R² scores.
The article explains how Hermes relies on prefix caching—keeping the system prompt unchanged throughout a session—to achieve 70‑80% cache‑hit rates, reduce token costs by up to 60%, and shape its architecture across agents, sub‑agents, and background review tasks.
This article walks through a four‑step workflow—finding inspiration, generating a poster with Codex, converting the image to layered HTML, and importing it into Figma via a custom A2F plugin—while discussing token costs and the benefits of AI‑assisted design.
The Sanlorenzo SL 80 A demonstrates that a sub‑24‑meter yacht can achieve the sense of a larger vessel by re‑thinking passageways, glass enclosures, mezzanine navigation stations, staircase design, and material choices, turning spatial constraints into a refined luxury experience.
This article presents a systematic, evidence‑driven process for locating and resolving high CPU usage on Linux servers, covering environment preparation, layered troubleshooting from whole‑machine to thread level, concrete command examples, real‑world case studies, best‑practice recommendations, and monitoring configurations.
The article reviews four major distributed storage systems—HDFS, Ceph, GlusterFS, and FastDFS—detailing their architectures, core strengths such as HDFS’s batch processing, Ceph’s unified object/block/file capabilities, GlusterFS’s horizontal scalability, and FastDFS’s lightweight handling of small files, while also noting each solution’s limitations.
The article chronicles how a marketing activity that required ten system switches and over forty manual fields was transformed by replacing simple AI‑assisted form filling with a two‑stage Agent architecture and an aggregated workbench, detailing the architectural choices, trade‑offs, and practical lessons learned.
The article explains how scattered Skill files across multiple AI agents cause version chaos, critiques existing sync methods, and introduces Nacos Skill Sync—offering a central repository with Registry and Local modes, CLI commands, and status monitoring to keep Skills consistent and shareable.
