126 related articles
The CISA Credential Leak: A Wake-Up Ca…
CISA contractor leaked credentials to a public GitHub repo — and the agency was building its incident response playbook mid-incident. Key lessons on supply chain security and credential management.

PowerToys is Microsoft's official open-source Windows utility suite featuring FancyZones, PowerToys Run, batch renaming, and more. A deep dive into its core features, developer tools, and how to install it.

Learn how to develop custom tools based on the Unity MCP Relay Server, enabling AI agents like Cursor to directly control the Unity editor. Covers setup, tool building, parameter validation, and MCP Pro comparison.

A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.

A deep dive into the Claude Code source code, systematically analyzing the five-layer Harness Engineering architecture: environment, tool, control, memory, and evaluation. Build a stable runtime system for production AI Agents.

ECC is an agent optimization framework for AI coding assistants like Claude Code, Cursor, and Codex, enhancing them with skills, memory, security, and research-first development capabilities.

Does Claude Code always give irrelevant answers? This article breaks down 4 core Skill plugins: Project Context Engine, PRD Requirements Translator, Code Review tool, and Daily Report Generator—showing you how to transform Claude Code from a money-burner into a true AI coding assistant.

As Claude Code, Cursor, and Codex enter enterprises at scale, policy enforcement guardrails are becoming critical. A deep dive into AI coding tool security governance, cross-platform compliance, and enforcement mechanisms.

The rumored "ChatGPT 5.6 release" is fake—OpenAI never launched it. Learn about account security risks of third-party top-ups, the truth behind low-price scams, and how to spot AI misinformation.

ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.

A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.

From Prompt Engineering to Harness Engineering, a deep dive into the core challenge of truly deploying AI Agents in enterprises. This article breaks down the six-layer architecture and shares real-world Hermes Agent practice.

AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.

A deep dive into Harness Architecture — the next-gen Agent design paradigm. Covers its evolution from prompt engineering and context engineering, multi-agent collaboration, sandbox security, feedback loops, and why it's a must-have for LLM developer interviews.

A firsthand documentary of shooting in Rio's favelas and the Amazon rainforest — covering gear selection, safety strategies, sample footage reflections, and the future of the imaging industry.

A minimalist CI/CD tool built with Python+Flask — just 200KB, event-driven, and decentralized. Deploy automatically without Jenkins or GitHub Actions in 5 minutes.

Deep dive into Claude Code's major new updates: Remote Control for session takeover, Auto Mode to reduce interruptions, multi-agent code review, Auto Memory, and Routines for cloud automation workflows.

"Claude Fable 5" doesn't exist. This guide exposes the AI scam's core red flags: fake version numbers, fabricated demos, "no-VPN China access" lies, and traffic funnel tactics.

Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.

Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.