The ccmr tool has been updated to support six major Chinese large‑language models—including DeepSeek V4, Kimi K2.6, and MiMo v2.5 Pro—offering a lightweight, isolated way to route Claude Code requests without affecting existing Anthropic subscriptions.
The article explains that Claude Code loads persisted memory once at REPL startup via _build_system(), inserts it as the 10th segment of system_prompt, enforces a 200‑line limit on MEMORY.md, deliberately avoids side‑effects in get_memory_dir(), and only refreshes the prompt with the /model command.
The article explains how integrating Arthas with the Model Context Protocol (MCP) enables AI-driven, natural‑language troubleshooting of Java‑based online incidents, offering step‑by‑step diagnostics, concrete case studies, and a balanced view of its advantages and current limitations.
The article examines the popular “0:5” claim that Chinese programmers lag behind the US in AI buzzwords, shows that Chinese models dominate Hugging Face, analyzes why narrative and standards lag, and proposes short‑term, mid‑term, and long‑term steps to improve global tech storytelling.
The ICLR 2026 best paper reveals that Transformers achieve extreme succinctness—encoding complex concepts with exponentially fewer symbols than RNNs—while proving that analyzing or verifying such models incurs EXPSPACE‑complete computational costs.
JDK 26 adds HttpRequest.BodyPublishers.ofFileChannel, letting developers read specific file segments directly from a shared FileChannel without copying data into heap memory, dramatically reducing memory usage and simplifying parallel chunk uploads to object storage such as OSS or S3.
This article provides a thorough side‑by‑side analysis of three AI agent skill frameworks—Matt Pocock Skills, Superpowers, and Agent Skills—covering their core concepts, feature sets, token usage, pros and cons, and recommended usage scenarios for individual developers, small teams, and enterprise projects.
This guide walks through seven Linux file‑sharing solutions—NFS, Samba, FTP, SFTP, WebDAV, rsync, and iSCSI—detailing installation, configuration, usage commands, common pitfalls, and when to choose each method for different scenarios.
This article walks through the design and implementation of a TCP long‑connection communication scheme using Netty and Spring Boot 2.2.0, covering project architecture, module layout, message flow, detailed code explanations, testing procedures, and deployment considerations.
This article explains what servers are, compares them with personal computers, outlines their physical classifications, architectural types, rack unit measurements, front and rear panel features, internal components—including RAID cards—and details key parameters such as brand, model, serial number, asset ID, and configuration.
The article explains how to refactor Spring controller code by introducing a unified response structure, using ResponseBodyAdvice for automatic wrapping, fixing String conversion issues through message‑converter ordering, applying JSR‑303 validation (including custom validators), and implementing custom exceptions with a global exception handler, resulting in concise, maintainable backend APIs.
This article systematically presents ten large‑model training and fine‑tuning methods—from full‑parameter finetuning to parameter‑efficient PEFT—detailing their principles, suitable scenarios, step‑by‑step workflows, code examples, and practical selection guidance for AI product managers.
The article walks through model training, validation, ensemble learning, and deployment from an AI product manager’s viewpoint, using a churn‑prediction case to illustrate decision boundaries, metric choices, industry‑specific algorithm trade‑offs, cost considerations, and practical serving options.
This article explains how == compares primitive values and object references, why Object.equals() defaults to ==, how classes like String and Integer override equals(), the impact of the string constant pool, integer caching, auto‑boxing, floating‑point pitfalls, and best practices for correctly comparing objects in Java.
This guide walks developers through installing and using Matt Pocock Skills—a lightweight, composable set of AI‑agent commands that provide deep alignment, shared language, feedback loops, architecture reviews and token‑saving modes to turn "vibe coding" into repeatable, high‑quality delivery.
The article argues that the traditional separation between AI agent harnesses and back‑ends creates debugging complexity, and proposes redefining the backend with three primitives—worker, trigger, and function—so that agents become equivalent to services or queues, enabling real‑time discovery, scalable extensibility, and unified observability across heterogeneous components.
The article provides a source‑code level analysis of Milvus Vector Transport Service (VTS), detailing its three‑stage architecture, partition‑aware sharding logic, two distinct sink write mechanisms (BufferBatchWriter and BulkWriter), schema conversion rules, error‑handling strategies, performance tuning parameters, and practical configuration examples for efficient vector data migration across various data sources.
A newly disclosed Linux kernel vulnerability (CVE‑2026‑31431, dubbed “Copy Fail”) allows an unprivileged user to execute a 732‑byte Python script that writes four controllable bytes into the page cache, directly modifying /usr/bin/su to obtain root, affecting all kernels from 2017 to the patch release and posing severe risks such as container escape and cloud‑tenant isolation breaches.
This article explains how a PHP webshell can evade antivirus and sandbox detection by embedding a branch‑based puzzle (InazumaPuzzle) that manipulates block states, combines it with a PerlinNoise class to construct a hidden system() call, and demonstrates the step‑by‑step execution using the input sequence ABBCCD.
Researchers uncovered fast16, a pre‑2005 network weapon that silently injects minute errors into high‑precision mathematical calculations, targeting engineering and scientific software such as LS‑DYNA, PKPM, and MOHID, and raising concerns about state‑level cyber sabotage predating Stuxnet.
