The article analyzes the security challenges of large‑scale AI agents, explains why fine‑grained permission design is essential, critiques existing protocols like MCP, A2A, and CLI/GUI automation, and details the new ATH three‑party trusted handshake with code examples and a Python demo.
This tutorial explains Retrieval‑Augmented Generation (RAG) from fundamentals to a full pipeline, covering text chunking strategies, VoyageAI embeddings, vector‑store implementation, BM25 lexical search, and a multi‑index retriever that fuses semantic and lexical results with Reciprocal Rank Fusion.
The article compares three server‑to‑client push techniques—polling, WebSocket, and Server‑Sent Events (SSE)—detailing their mechanisms, advantages, drawbacks, browser compatibility, and suitable use cases, and provides step‑by‑step Node/Express demos showing how to implement SSE in a simple web page.
The article introduces SkillsJars, a Maven‑based solution that packages Agent SKILL.md files into JARs, enabling unified dependency management for Java AI agents and demonstrating integration with Claude Code, Spring AI, and LangChain4j while also covering how to publish custom SkillsJars.
Slash Commands let you wrap frequently used prompts into a single '/'‑prefixed shortcut, turning repetitive typing into a remote‑control‑like experience; the article explains what they are, how they differ from CLI flags, showcases built‑in commands, three practical use cases, and provides a step‑by‑step guide to create your own command.
This article introduces two open‑source web tools—MapPoster Online (Rust/WASM) and MapToPoster JS (Leaflet + MapLibre GL)—that let you input a city name and instantly generate a customizable, high‑resolution vector map poster directly in the browser.
This article shows how to replace traditional installable serial‑debug tools with a browser‑based, cross‑platform serial assistant that uses the Web Serial API for direct hardware access and Spring Boot 3 with WebSocket to relay data to the cloud, including architecture, code examples, and deployment pitfalls.
Anthropic has released an open‑source Claude plugin for small businesses that provides fifteen atomic skills and fifteen ready‑to‑use workflows across finance, sales, and customer operations, allowing users to issue natural‑language commands without writing prompts, with a three‑layer architecture (skill, command, routing) and optional integrations with QuickBooks, PayPal, HubSpot, and other tools.
The Chinese GPU market, valued at 1.546 trillion CNY in 2024 and projected to grow over 30% annually, is reshaping as domestic firms like Huawei, Wallin, and Moore Thread adopt 7nm chiplet designs to challenge Nvidia's dominance, while grappling with software ecosystem gaps and supply‑chain constraints.
The article outlines a four‑stage agent development lifecycle—Build, Test, Deploy, Monitor—explaining how early, iterative delivery, systematic testing, controlled deployment, and continuous monitoring transform experimental agents into reliable production systems while addressing governance, cost, and scalability challenges.
The article presents a detailed, production‑focused harness for Claude Code that structures prompts, rules, skills, and external hooks to compensate for LLM shortcomings in Java microservice development, preventing hallucinations, concurrency bugs, and false completions while ensuring reliable code delivery.
The article analyzes why simply adding Redis nodes cannot handle a sudden million‑QPS surge, then presents three practical solutions—key sharding, multi‑level caching with hot‑key detection, and distributed‑lock‑based fallback—to build a resilient high‑concurrency backend.
This guide walks through integrating Ollama’s local LLM with Spring AI, explaining Prompt and PromptTemplate concepts, configuring application.yml, implementing a PromptService, adding controller endpoints, using external template files, and testing the setup with curl commands.
This article breaks down the concept of a Data Agent that automates the entire traditional data‑analysis pipeline, explains its three‑layer architecture, the ReAct reasoning loop, multi‑agent collaboration, six practical use cases, and offers deployment recommendations for teams looking to adopt AI‑driven data workflows.
The article explains how Google Antigravity's production‑grade agent engine, managed Agent API, SDK, and ADK let developers replace heavyweight infrastructure with a single API call or a lightweight library, and provides detailed criteria and code examples for choosing and using each option.
This article walks through seven concrete implementations for controlling access to Spring Boot 3.5.0 controller endpoints—including Spring Security, Sa‑Token, custom annotation with AOP, interceptor, URL‑based filter, custom HandlerMapping, and a Spring Cloud Gateway filter—providing code samples, configuration details, and test results to help developers choose the right approach for API security.
New developers often drown in massive legacy codebases, struggling to map dependencies and understand architecture, but Understand‑Anything leverages Claude, Tree‑sitter, and multi‑agent pipelines to generate a searchable, visual knowledge graph, offering onboarding tours, semantic QA, incremental diff analysis, and cross‑language support, while the article also compares it against competing tools and provides installation and usage guidance.
A researcher discovered an unauthenticated debug endpoint in Google Cloud that leaked protobuf definitions, turned it into a "req2proto as a Service", abused Stubby RPC permissions, chained several API calls to achieve full remote code execution, and received a $148,337 bug‑bounty.
In a production‑environment penetration test, the researcher leveraged DeepSeek V4 Pro via a custom Claude Code bridge to craft an XML‑parsing‑error‑based Boolean blind SQL injection that evaded WAF keyword filters, allowing character‑by‑character extraction of all 19 database names within two hours at a cost of only ¥1.4.
Researchers demonstrate that by exploiting NTFS junctions and symbolic links to create recursive directory structures—dubbed GhostTree—a normal user can generate billions of paths that cause EDR folder scans to enter infinite loops, effectively hiding malicious files from detection.
