#LLM middleware
280 related articles
·3 min
Core Analysis of Agent Skill: Progressive Disclosure & Middleware Practical Guide
Deep dive into Agent Skill's core design—Progressive Disclosure—with detailed middleware and dynamic tool implementation, Multi-Agent comparison, and practical tips.
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·3 min
1FlowBase in Practice: Adding Vision Tools to DeepSeek V4 for Multimodal Capabilities
Learn how to use 1FlowBase to mount MIMO 2.5 as a vision tool on DeepSeek V4, creating a Fusion multimodal endpoint with step-by-step orchestration guide.
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·3 min
Complete Guide to Connecting Codex with DeepSeek: Low-Cost AI Programming with Codex++
Learn how to connect DeepSeek to Codex using the open-source tool Codex++. Complete setup guide covering provider config, connection testing, and launch steps to slash AI coding costs.
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·2 min
Devin Review Security Audit Feature Explained: How AI Code Review Detects Deep Security Vulnerabilities
Devin Review adds AI security audit to auto-detect auth bypasses, logic flaws & deep vulnerabilities in every PR, with full remediation from finding to fix.
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·3 min
GitHub AI Weekly Rankings: Agent Infrastructure Projects Dominate, Toolchain Ecosystem Taking Shape
June 2026 Week 1 GitHub AI trends: Agent infrastructure projects like Hedron and MarkItDown dominate, as context compression, document parsing, memory systems, and aesthetic toolchains rapidly mature.
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·4 min
GitHub AI Weekly: Agent Ecosystem Support Tools Explode onto the Scene
June 2026 GitHub AI trends: Agent ecosystem middleware tools surge — PM Skills, Agent Reach, Graphify, and Skill Spectre signal the Agent middleware era.
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·2 min
Baseten Raises $1.5 Billion: Why AI Inference Infrastructure Has Become a Capital Darling
AI inference startup Baseten is raising $1.5B at a $130B valuation. We analyze why inference infrastructure is booming, the competitive landscape, and what this mega-round signals.
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·3 min
Complete Guide to Custom Models and Agent Configuration in Trae
A detailed guide to configuring custom models in Trae via provider APIs and proxy APIs, plus how to create personalized agents for your own AI assistant.
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·3 min
GML 5.2 Multimodal Upgrade Hands-On: Full Validation with DeepSeek V4
Hands-on testing of GML 5.2 and DeepSeek V4 multimodal upgrades on OneBlockBase, covering vision-text workflows, safety mechanisms, and deployment tips.
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·3 min
5 Steps to Connect Codex with DeepSeek — No GPT Account Required
Step-by-step tutorial: Connect Codex to DeepSeek API via CC Switch in 5 steps. No GPT account needed — use AI coding features like code completion and Skill plugins at lower cost.
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·4 min
Technical Breakdown of Campus Find: A DeepSeek-Powered AI Lost & Found System
Deep dive into Campus Find, a WeChat mini program using DeepSeek AI for smart lost & found matching, OCR recognition, QR code returns, and AI mascot interaction.
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·2 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns
Deep dive into Alibaba's AgentScope 2.0 multi-agent framework: event system, execution safety, human-in-the-loop, and ReAct vs Plan-and-Execute agent design patterns.
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·2 min
Agent Middleware: Adding Interceptors to Model Calls
Learn how AI Agent middleware works through two practical examples — logging and security checks. Master the Observer and Guardian design patterns to build extensible, production-grade Agents.
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·3 min
Java Developer's Guide to AI Application Development: From Spring AI to Intelligent Customer Service
A comprehensive guide for Java developers transitioning to AI application development, covering Spring AI, RAG, Function Calling, and a hands-on airline intelligent customer service project.
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·2 min
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
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·4 min
Local Deployment of Claude Code: Principles and Practical Guide for Three Approaches
A detailed guide to locally deploying Claude Code with three approaches (LM Studio, Ollama, vLLM), covering architecture, protocol translation, hardware selection, and model recommendations.
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·3 min
AI Large Language Model Learning Roadmap: A Systematic Path from Zero to Project Implementation
A detailed AI LLM learning roadmap covering Transformer architecture, Prompt Engineering, RAG, Agent development, model fine-tuning & deployment, with enterprise project guides.
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·3 min
Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development
Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.
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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
Freely Switch Between Claude/DeepSeek and Other AI Models in Codex: CPA Deployment Guide
Learn how to use CLI Proxy API (CPA) to aggregate Claude, DeepSeek, Grok, and Gemini models into OpenAI Codex via VPS deployment, Docker setup, and Codex++ integration.
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