#LLM-driven security
49 related articles
·5 min
Five Major Upgrades to Gemini Spark: Building an Always-On Proactive Personal AI Agent
Google launches five major Gemini Spark upgrades including macOS native integration and Smart Triggers, transforming AI from passive chatbot to proactive Personal AI Agent for always-on task handling.
Read more →
·4 min
Alibaba Open-Sources Page-Agent: A Web AI Agent for Controlling Interfaces with Natural Language
Alibaba open-sources Page-Agent, a TypeScript-based in-page JavaScript GUI agent that lets users control web interfaces with natural language. No scripting needed. Already 23K+ GitHub Stars.
Read more →
·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
Read more →
·7 min
A New Core Skill for Programmers: How to Effectively Lead Your AI Agent Dev Squad
Coding alone isn't enough anymore. Learn the 5 key steps to commanding AI Agents—define outcomes, split tasks, provide context, iterate small, and keep humans in the loop.
Read more →
·7 min
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
Read more →
·4 min
AI Agent Memory System Architecture Breakdown: A Practical Selection Guide from 16 Open-Source Projects
Deep analysis of memory system architectures across 16 open-source AI Agent projects including Hermes, Goose, NanoClaw, and Deerflow, covering FTS5 vs vector search, multi-tenant isolation, and LLM auto-extraction.
Read more →
·4 min
LLM Job Interviews: Multi-Agent and Harness Engineering Are Now Must-Know Topics
Deep analysis of LLM job interview essentials: Multi-Agent architecture, Harness engineering, Agent Loop, sandbox isolation, and memory management with career transition tips.
Read more →
·3 min
Claude Code + Harness AI Engineering in Practice: From Methodology to Enterprise-Level Implementation
Deep dive into Claude Code + Harness AI engineering methodology, covering tech stack selection, enterprise e-commerce implementation, task decomposition, and Prompt templatization.
Read more →
·3 min
Building AI Agents from Scratch: LangGraph Architecture and Practical Guide
A deep dive into AI agent principles and development practices, covering agent definitions, leading products (Deep Research, ChengPian, Manus), and the complete LangGraph + LangChain + MCP architecture.
Read more →
·4 min
Spring AI vs LangChain4j: How to Choose a Java AI Framework
In-depth comparison of Spring AI and LangChain4j — two major Java AI frameworks — covering core features, completeness, ecosystem support, and usability to help Java developers make the right choice.
Read more →
·3 min
Multi-Agent Communication & Collaboration in Feishu: A Complete Guide to Configuration and Group Chat Orchestration
Learn how to configure Open Cloud for multi-Agent communication, including session_visibility, agent_to_agent toggle, and whitelist setup, plus Feishu group chat orchestration for AI team collaboration.
Read more →
·3 min
Getting Started with AI Agents: A Complete Learning Path from Zero to Production
A comprehensive guide to AI Agent architecture covering ReAct paradigm, multi-agent collaboration, RAG integration, and the planning-memory-tools framework, with a complete learning path from concepts to production deployment.
Read more →
·3 min
HiClaw Open-Source Multi-Agent Collaboration System: A New Paradigm for Human-AI Collaboration Based on the Matrix Protocol
Deep dive into HiClaw, an open-source multi-Agent OS built on the Matrix protocol for transparent, controllable human-AI task coordination with Human-in-the-Loop design.
Read more →
·4 min
Claude + Trae IDE with Yakit: Automated Penetration Testing via MCP in Practice
Learn how to use Claude LLM with Trae IDE and MCP protocol to orchestrate Chrome browser and Yakit for automated penetration testing, covering setup, agents, and vulnerability detection.
Read more →
·2 min
Why Are AI Startups Getting Into Smart Home? A Viral Tweet Reveals the Product Boundary Dilemma
An AI startup's product page unexpectedly features pool cover and sauna automation, sparking industry debate about feature creep, blurred product boundaries, and the real challenges of AI-smart home convergence.
Read more →
Tutorials·2 min
Claude Code Beginner's Guide: A Complete Workflow from Setup to Project Delivery
A detailed guide to Claude Code's core curriculum: environment setup, multi-file project management, testing standards, AI architecture review & security auditing.
Read more →
Deep Dives·3 min
Claude Sub-agents vs Agent Teams: How to Choose Between Two AI Multi-Agent Collaboration Patterns
Deep comparison of Claude sub-agents vs agent teams: architecture differences, use cases, and real-world results. A Pokémon RPG case study shows how agent teams achieve 95%+ feature completeness.
Read more →
Product Reviews·2 min
Building an AI Auto-Chat Bot for the Soul Platform: A High-EQ Automated Reply System Breakdown
Technical breakdown of an AI auto-chatbot for Soul social platform, covering message listening, affective computing, human-like reply timing, cross-platform expansion, and ethical implications.
Read more →
Industry Insights·2 min
AI Security Audit Reports Are Crushing the curl Project: An Existential Crisis for Open Source Maintainers
curl founder Daniel Stenberg reveals AI-driven security reports have surged to 4-5x 2024 levels, overwhelming open source maintainers with unprecedented pressure.
Read more →
Product Reviews·1 min
Claude Code vs Codex vs OpenCode: In-Depth Comparison of the Top 3 AI Coding Assistants in 2025
In-depth comparison of Claude Code, OpenAI Codex, and OpenCode across usability, model support, undo features, code quality, and limits to help developers choose the best AI coding tool.
Read more →