#MCP Agent testing
482 related articles
·3 min
Cosmonapse: A Decentralized Multi-Agent Framework Built on an Event Bus
Cosmonapse is an open-source multi-agent framework that replaces central orchestrators with peer nodes, using typed signals and an event bus to fully decouple tool calls, memory, and HITL. Supports Python and TypeScript under Apache 2.0.
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·3 min
Coze Deep Dive: Multi-Agent Collaboration Platform Features & Usage Guide
A comprehensive guide to Coze by ByteDance: multi-agent collaboration, local tool integration, cross-platform sync, and credit system. Compare with Dify to get started fast.
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PostHog Deep Dive: The Open-Source All…
·2 min
PostHog Deep Dive: The Open-Source All-in-One Platform for Product Analytics and AI Observability
PostHog is an open-source all-in-one platform combining product analytics, session replay, feature flags, A/B testing, and AI Observability. Supports self-hosting and MCP protocol.
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·3 min
OpenAI Codex IDE Extension in Practice: A Complete Guide to VS Code Installation and Local Development
A hands-on guide to installing and configuring the OpenAI Codex IDE extension, covering its three working modes and Agent demo. Supports VS Code, Cursor, and Windsurf.
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·3 min
Claude Code Enterprise Guide: Environment Setup, Git Workflows, and Switching to Chinese AI Models
Enterprise guide to Claude Code: CLI setup, switching to DeepSeek and other Chinese AI models, Git workflow automation, and bug fix loops to boost team productivity.
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·3 min
40-Hour Stress Test: An In-Depth Evaluation of GPT-5.6's Coding Capabilities
A developer spent 40 hours exhausting Codex Pro's weekly quota to benchmark GPT-5.6 on real enterprise projects. Key findings: proactive root cause tracing, stronger global codebase understanding, and stable long-task execution.
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·4 min
AI Agents Automating JS Reverse Engineering: A Deep Dive into the New Paradigm for Web Scraping
AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.
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·3 min
What Is Claude Code? A Five-Dimension Breakdown of AI Coding Assistants
Claude Code isn't just a chat AI — it reads your project files, edits code, and runs commands directly. See how it compares to ChatGPT and Cursor across 5 key dimensions.
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·3 min
Cherry Studio + MCP: A Practical Guide to Building AI Agents with Local Deployment
Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
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·3 min
The Complete Guide to Looping Engineering: Building Efficient Agent Loops from Scratch
A deep dive into Looping Engineering — covering the five core loop elements (Trigger, Goal, Judgment, Feedback, Memory), when to use loops, and a step-by-step guide to building a topic-selection loop with Claude Code.
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GitHub Daily · July 17: AI Coding Infr…
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GitHub Daily · July 17: AI Coding Infrastructure Explodes — From Context Graphs to Vector Indexes
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.
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·2 min
AI Truly "Gets Its Hands On" Your Phone: Android Remote Control MCP v1.9.0 Deep Dive
Android Remote Control MCP v1.9.0 adds ChatGPT support, OAuth 2.1 auth, and major WebView reliability fixes. Let AI Agents operate any phone app like a human.
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·2 min
Vibe Coding: The Full-Stack AI Development Methodology for the Solo Founder Era
Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.
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·3 min
Privacy Risks in Claude Code? Use Docker Sandboxes to Fully Isolate Your AI Coding Tools
Claude Code found to contain user monitoring logic, raising AI tool privacy concerns. Learn how to isolate Claude Code, Codex & Copilot with Docker Sandboxes — full setup and escape testing included.
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·3 min
Dify + MCP in Practice: Building a Multi-Scene Life Assistant Agent with ModelScope MCP Marketplace
Build a multi-scene life assistant Agent using ModelScope MCP Marketplace and Dify. Integrates Amap, LeetCode, recipe, and news MCP Servers with Qwen3 via Chatflow.
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·3 min
The Complete OpenAI Codex Practical Guide: From Installation to Enterprise Deployment
A complete guide to OpenAI Codex: CLI setup, slash commands, AGENTS.md, MCP integration, multi-agent collaboration, and a RAG customer service project walkthrough.
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·3 min
AI Tool Selection Guide for Test Engineers: A Hybrid Approach to Avoid Three Common Pitfalls
How should test engineers choose AI tools? This guide breaks down the pitfalls of pure AI solutions and recommends a hybrid strategy using tools like DeepSeek, TRAE, Claude Code, and Skill encapsulation.
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·3 min
Claude Code for Test Engineers: 8 Practical Tips to Genuinely Boost Testing Efficiency
How can test engineers truly boost productivity with Claude Code? This guide covers test Skills, Hooks automation, MCP integration, and two hands-on cases you can use today.
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·3 min
Complete Codex Practical Guide: From Getting Started to Enterprise-Grade AI Programming
Master OpenAI Codex end-to-end: CLI setup, slash commands, AGENTS.md design, MCP protocol, multi-agent coordination, and enterprise plugin development.
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·4 min
LangChain V1.3 in Practice: Master AI Engineering Thinking and Break Free from Tool Dependency
LangChain V1.3 course deep-dive: why engineering thinking beats tool-chasing. Covers RAG accuracy myths, Token cost control, and LangChain/LangGraph/Deep Agent breakdowns.
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