#JSON-RPC
293 related articles
·3 min
6 Must-Have MCPs for Claude Code: Upgrade It to a Full AI Development Workstation
6 essential MCPs for Claude Code: Playwright, File System, Sequential Thinking, Context7, GitHub, and Memos — upgrade your AI coding assistant into a complete development workstation.
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·3 min
Figma Code Context: Open-Source MCP Tool That Converts Design Files to Frontend Code in 30 Seconds
Figma Code Context is an open-source MCP tool that fetches structured design data via Figma API, enabling AI to generate high-fidelity frontend code in seconds.
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·3 min
7 Practical Configurations for Claude Code + Codex Dual-AI Collaboration
7 practical configurations for Claude Code + OpenAI Codex dual-AI collaboration, from dual-window switching and official plugins to Skills evolution and bidirectional MCP Servers.
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·4 min
Agent Harness: The Paradigm Leap from Prompt Engineering to Harness Engineering
Deep dive into Agent Harness: tracing the paradigm evolution from Prompt Engineering to Context Engineering to Harness Engineering, and how loop-based architectures solve context loss in AI coding agents.
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·4 min
Codex Hands-On Tutorial: From Installation and Configuration to Enterprise-Level Project Development
A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.
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·3 min
DeepSeek Open-Sources a Terminal Coding Agent: A Claude Code Alternative with 38K GitHub Stars
DeepSeek's open-source terminal coding Agent: zero dependencies, million-token context, 20 parallel sub-agents, 38K+ GitHub Stars. A detailed comparison with Claude Code.
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·4 min
Ponytail: The Lazy Philosophy That Teaches AI to Write 90% Less Code
Deep dive into how GitHub's trending project Ponytail uses YAGNI principles, NCP protocol, and declarative scheduling to constrain AI coding assistants, cutting 90% of redundant code.
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·3 min
Andrew Ng and Anthropic's Definitive Claude Code Tutorial: A Deep Dive
Andrew Ng and Anthropic launch a Claude Code course covering context management, parallel sessions, MCP server integration, and hands-on projects in RAG, data analysis, and Figma-to-code conversion.
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·3 min
AI-Powered Playwright: A Practical Guide to Zero-Code Web Automation Testing
Explore Playwright's core advantages including DevTools Protocol architecture, smart locators, and high-concurrency support, plus how to achieve zero-code automation testing with AI via MCP.
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·4 min
Agent Tool Selection Guide: A Comprehensive Comparison of API, CLI, MCP, Browser Use, and Computer Use
Compare 5 Agent tool types: CLI, API, MCP, Browser Use & Computer Use on speed, accuracy, and token cost. Includes a selection priority table to cut costs and boost Agent efficiency.
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·4 min
What Is Google WebMCP? A Deep Dive into the New Standard for AI Agents to Directly Invoke Web Functionality
A deep dive into Google WebMCP (Web Model Context Protocol): how it works, its technical implementation, and use cases. Learn how WebMCP lets AI Agents directly invoke web tools.
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·3 min
Claude Code with Local LLMs: Token-Free Deployment Guide & Configuration
Learn how to connect Claude Code to local LLMs for token-free AI coding. Covers three-layer architecture, Ollama/LM Studio/vLLM setup, protocol translation, and hardware selection.
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·3 min
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
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·3 min
Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System
How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.
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·3 min
Codex vs Claude Code In-Depth Comparison: How to Choose Your AI Coding Tool
In-depth comparison of Codex and Claude Code AI agent programming tools covering model foundations, Chinese understanding, costs, MCP ecosystem, setup tutorials, and practical selection advice.
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·2 min
Claude Code vs Regular AI Chat: An In-Depth Comparison Across Five Dimensions
A deep comparison of Claude Code vs regular AI chat across five dimensions: interaction, context understanding, execution, memory, and tool invocation.
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·2 min
GitHub Copilot CLI Integrates LSP Language Servers: From Text Search to True Code Intelligence
GitHub Copilot CLI integrates LSP language servers, upgrading code understanding from grep text search to IDE-level code intelligence. Learn about configuration, use cases, and impact on AI tools.
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·3 min
OpenAI Codex Deep Dive: Core Capabilities and Engineering Best Practices Guide
Deep dive into OpenAI Codex's core capabilities including multi-task parallelism, Agent Loop mechanism, and Specification-Driven Development (SDD), with learning resources and advanced paths for mastering AI programming workflows.
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·3 min
Codex MCP Getting Started Guide: Configuration Methods and Practical Applications Explained
A detailed guide to Codex MCP (Model Context Protocol): core concepts, two server types, configuration methods, and practical applications to help developers get started quickly.
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·2 min
API to MCP Tool in One Click: Let AI Agents Easily Call Any API
Learn how the open-source API to MCP tool converts any REST API into an MCP Server with one command, enabling Claude Code and Codex agents to call third-party APIs directly.
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