#AI Agent middleware
206 related articles
·5 min
Running GPT-5.6 Inside Claude Code: Best Practices for Subagent Orchestration and System Prompts
Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.
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·3 min
Kimi K3 Launch: Performance Rivaling Claude at One-Third the Price, US-China AI Gap Narrows to 3 Months
Moonshot AI launches Kimi K3 reasoning model with performance rivaling Claude and OpenAI's top models at one-third the price. The US-China AI gap narrows from 6-12 months to just 3 months.
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·4 min
Choosing the Wrong Agent Ruins Everything: Why the Same Model Can Perform Like Two Completely Different AIs
The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.
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·3 min
Copilot Now Charges at API Prices — What Are You Actually Paying For?
With GitHub Copilot now billing at API rates, model costs match raw APIs. This article analyzes Copilot's real value in workflow integration, enterprise governance, and harness engineering.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Marching Toward the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.
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·4 min
Spring AI 2.0 Explained: Five Key Updates Ushering in the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Stepping into the Agent Era
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.
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GitHub Daily · July 25: Where Decentra…
·2 min
GitHub Daily · July 25: Where Decentralized Communication Meets AI-Native Tools
GitHub Trending July 25: bitchat's Bluetooth Mesh chat gains 1,700 stars in a day, palmier-pro reimagines AI-native video editing, and aisuite unifies LLM access.
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·4 min
Java Developer to AI Architect: A Three-Layer Capability Upgrade Roadmap
How can Java engineers transition to AI Architect? This article breaks down three core capability layers — AI app development, production RAG, and AI Agent orchestration — using Spring AI Alibaba and LangChain4j to turn your Java foundation into a competitive edge.
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·4 min
Was Claude Nerfed After Coming Back Online? The Truth Behind Safety Classifier Routing
Did Claude drop ~10 benchmark points after redeployment? We dig into the safety classifier routing mechanism, Arena voting data, and developer feedback to reveal the truth.
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·3 min
LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment
Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.
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·3 min
Dify for Beginners: A Complete Guide to Building AI Applications
A beginner's guide to Dify covering Docker deployment, MySQL setup, model integration, five app types (Chatbot/Agent/Workflow), and publishing — build LLM apps fast.
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·3 min
Dify Getting Started: A Complete Zero-to-Production Guide for Building AI Applications
A complete guide to Dify — covering deployment, five core app types (chatbot, Agent, workflow, and more), LLM integration, and publishing for zero-experience developers.
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·2 min
Spring AI Alibaba Admin: A Deep Dive into the Java Visual AI Workflow Platform
Spring AI Alibaba Admin is a visual AI workflow platform for Java, comparable to Dify. It supports Dify-to-Graph migration, multi-model integration, and code export. This article covers core features and local deployment tips.
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·2 min
AI Infrastructure or App Feature? The Architecture Debate Sparked by CogniCore
CogniCore asks: should persistent memory, context engines, and state management be standalone AI infrastructure or in-app features? A deep dive into 5 key directions and the missing middleware of the agent era.
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Microsoft's Two-Track AI Coding Strate…
·3 min
Microsoft's Two-Track AI Coding Strategy: A Deep Dive into Claude Code and GitHub Copilot CLI
Microsoft plans to launch Claude Code and GitHub Copilot CLI, making the terminal the new frontier for AI coding. A deep dive into Microsoft's multi-model strategy and its impact on developer workflows.
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·2 min
ROS2 for Beginners: The Essential Framework for Robot Development
A complete introduction to ROS2 for beginners: what ROS is, how ROS1 and ROS2 differ, and how to choose the right version to kickstart your robot development journey.
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·2 min
Getting Started with ROS2: What Is a Robot Operating System, and How Does It Differ from ROS1?
A beginner's guide to ROS2: what ROS really is (an SDK, not a traditional OS), how ROS1 and ROS2 differ, and how to choose the right version to start robot development.
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·2 min
ROS2 Beginner's Guide: A Deep Dive into the Core Middleware for Robot Development
Learn ROS2 from scratch: understand how ROS differs from traditional OS, explore ROS1 vs ROS2 differences, and master version selection principles for robot development.
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DCG: A Rust-Powered Safety Guard That …
·2 min
DCG: A Rust-Powered Safety Guard That Intercepts Dangerous AI Agent Commands
DCG is an open-source Rust tool that intercepts dangerous shell and git commands for AI agents like Claude Code and Cursor, enabling zero-trust execution environments.
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