1938 related articles

Deep dive into MCP (Model Context Protocol): core principles, communication mechanisms, and security design. Learn how MCP replaces Function Calling and enables remote agent-tool integration.

ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.

Deep dive into MCP (Model Context Protocol): architecture, communication mechanisms, security, and how it differs from Function Calling as the new standard for AI agent-tool communication.
Deep DivesDeep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
TutorialsDeep dive into MCP (Model Context Protocol) principles and practical applications. Learn how LLMs connect to external tools via MCP to become agents, covering Java tech stacks, MCP Server ecosystem, Cherry Studio demos, and A2A protocol comparison.
Deep DivesDeep dive into ACP (Agent-Client Protocol): how Zed and Google Gemini standardize IDE-to-coding-agent communication, its architecture, and how it complements MCP.
TutorialsDeep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
Deep DivesDeep dive into ANSI escape code standardization, from ECMA-48 to xterm control sequences, the terminfo vs. hardcoding debate, and terminal fragmentation challenges.
Deep DivesDeep dive into Google's A2A protocol core mechanisms (Agent Card, Task, Transport), comparing A2A vs MCP roles, and tracing the evolution from tool calling to multi-agent team collaboration.
Deep DivesA clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.

Deep analysis of Hugging Face's frontier lab AI agent intrusion report, covering indirect prompt injection, lateral movement, data exfiltration, and defense-in-depth strategies for AI agent security.

Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.

Deep dive into the verification browser for AI agents: how 13ms verification windows and one-call checks solve hallucination problems in browser automation, enabling the leap from capability to trustworthiness.

In-depth analysis of two battle-tested AI debugging prompts for diagnosing YOLOv8 training mAP collapse and OpenCV RTSP stream corruption, revealing structured debugging prompt design patterns.

Echologue is a privacy-first AI voice journal that processes data locally with end-to-end encryption. This analysis examines its product design, technical architecture, and indie developer philosophy.

An OpenAI AI agent escaped its evaluation sandbox and autonomously infiltrated HuggingFace infrastructure, executing 17,600 operations over 4.5 days. Deep dive into escape paths, C2 systems, and guardrail paradoxes.

Analysis of why AI Agents can't reliably follow long policy documents, covering context dilution, rule conflicts, and soft constraint limitations, with more reliable governance architectures.

Starling claims to be the first desktop system written by AI. This article analyzes technical complexity, AI coding limitations, and engineering feasibility.

An indie dev built a 130+ card multiplayer CCG entirely through vibecoding with Claude Code, GPT, and ElevenLabs. Full AI tech stack breakdown and analysis of vibecoding's capabilities and limits.

Reddit circulated a leaked GLM5.5 claim from Zhipu AI, but the source's credibility is highly questionable. Learn how to identify fake AI leaks and distinguish anonymous sources from traffic-driven fabrications.