#RPC framework
311 related articles
·2 min
FastAPI Fundamentals: Frontend-Backend Separation and RESTful API Design Explained
A comprehensive introduction to FastAPI's core concepts: frontend-backend separation, RESTful API design, JSON data exchange, HTTP methods, and idempotency explained clearly.
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·7 min
Connecting Hermes Agent to MCP: One Protocol to Unify All External Systems
Learn how to extend Hermes Agent's external system capabilities via MCP (Model Context Protocol): setup, whitelist permissions, WSL-to-Chrome bridging, and multi-server orchestration for AI Agent developers.
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·6 min
Alibaba Bans Claude Code: The Enterprise Security Red Line for AI Coding Tools
In-depth analysis of Alibaba's comprehensive internal ban on Claude Code: from the hidden-marker controversy and Anthropic's regional-restriction stance to five core questions of enterprise AI coding tool security admission.
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·7 min
Gemini CLI: The AI Development Powerhouse in Your Terminal, Ending Tool Fragmentation
Gemini CLI is Google's open-source AI terminal tool that deeply integrates Gemini model capabilities into the command line—supporting code generation, file operations, Shell execution, and MCP protocol extensions, with 1,000 free daily requests.
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·6 min
Reverse-Engineering ChatGPT's Source Selection: What Network Traffic Analysis Reveals About AI Citations
By capturing and analyzing ChatGPT's real network traffic during web retrieval, this article reveals the underlying logic of AI source selection—covering the layered mechanisms of retrieval recall and content filtering, domain preference patterns, and practical insights for content creators and SEO professionals.
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·7 min
Kontext: One-Click AI Conversation Context Migration, Breaking Down Multi-Model Switching Barriers
Kontext is a context migration tool for multi-AI users, enabling one-click transfer of full conversation history between ChatGPT, Claude, and Gemini to solve the context silo problem.
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·5 min
OfficeCLI: A Command-Line Tool for AI Agents to Read and Write Office Documents
OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.
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TaskPeace: An AI Coding Agent Task Que…
·2 min
TaskPeace: An AI Coding Agent Task Queue System Built on the MCP Protocol
TaskPeace is a task queue system for AI coding agents that uses the MCP protocol to let Claude, Cursor, and other AI assistants autonomously claim and execute tasks.
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·3 min
AI Agent Architecture Decoded: An Engineering Guide from Conversations to Automation
A deep dive into the four-layer engineering design of AI Agents: planning, memory, tool use, API cost optimization, MCP protocol integration, and Skill encapsulation.
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·6 min
Semi-AI Mode: A Practical Guide to Implementing API Automation Testing
Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.
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·7 min
The Complete Guide to OpenCode: Installing, Configuring, and Using the Terminal AI Coding Assistant
An in-depth guide to installing, configuring, and extending OpenCode, the terminal AI coding assistant. Covers desktop and WSL installation, model config, MCP integration, and custom Agents.
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·6 min
LangChain Open-Sources OpenWiki: Automatically Generate and Maintain AI-Readable Wikis for Your Codebase
LangChain open-sources OpenWiki, a tool that auto-generates and maintains AI-readable wiki documentation for codebases via a single command, powered by Git history and agents.md integration.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·2 min
MCP Protocol Deep Dive: The Unified Standard and Practical Guide for Agent Development
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.
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·6 min
Java Developer's Guide to AI Application Development: Building an Airline Intelligent Customer Service System
A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.
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·5 min
Deep Dive into Vercel's eve Framework: How AI Agents Are Becoming an Entirely New Form of Software
Vercel's Chief of Software Andrew Qu explains the eve Agent framework's design philosophy, covering Skills modularity, Sandboxes security, and agent-readable websites—revealing the paradigm shift from instruction-driven to goal-driven software.
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·7 min
Claude Code Command Orchestration: One-Click Content Research and Auto-Publishing
Learn how to orchestrate Claude Code custom commands to chain content research and social media publishing agents into a fully automated workflow with one command.
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·6 min
herder: A Terminal Multiplexer for Multiple Coding Agents — Say Goodbye to Session Management Chaos
herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.
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·5 min
Natively Porting Command & Conquer: Generals to macOS and iOS with the Fable Framework
Using the Fable porting framework, Command & Conquer: Generals has been natively ported to macOS, iPhone, and iPad. Explores DirectX-to-Metal challenges, touch adaptation, and game preservation.
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Stronger Models, Worse Tools? The Hidd…
·4 min
Stronger Models, Worse Tools? The Hidden Pitfalls of Tool Calling in Claude's New Models
Developers found Claude's flagship models Opus and Sonnet perform worse with third-party editing tools than older versions — likely due to RL over-optimization on built-in tools degrading generalization.
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