AI Development
40 posts in this series
Complete Workers AI Tutorial: 10,000 Free LLM API Calls Daily, 90% Cheaper Than OpenAI
Complete Workers AI tutorial: Free access to Llama 3.1, Mistral and other open-source LLMs. 10,000 Neurons daily free tier, 90% cost savings compared to OpenAI API. Includes complete code examples and real-world use cases.
AI-Powered Refactoring of 10,000 Lines: A Real Story of Doing a Month's Work in 2 Weeks
A complete retrospective of using Claude Code to refactor 10,000 lines of legacy Vue code. From inheriting a 3-year-old codebase nobody dared touch, to shipping in 2 weeks with zero incidents. Includes complete Prompt templates for test generation, code diagnosis, refactoring execution, and pitfall avoidance.
OpenAI Blocked in China? Set Up Workers Proxy for Free in 5 Minutes (Complete Code Included)
Build an AI API proxy using Cloudflare Workers at zero cost. Set up in 5 minutes. Supports OpenAI, Claude, Gemini with 100K free daily requests. Complete code and security guide included.
Agent Sandbox Guide: A Complete Solution for Safely Running AI Code
A comprehensive guide to building AI Agent sandbox environments, comparing gVisor and Firecracker technologies with deployment guides from local development to Kubernetes clusters
Tired of Switching AI Providers? One AI Gateway for Monitoring, Caching & Failover (Cut Costs by 40%)
A hands-on guide to managing multiple AI providers (OpenAI, Claude, Gemini) with AI Gateway. Learn how to implement automatic failover, intelligent caching, and global monitoring to reduce costs by 40% and boost availability to 99.9%. Includes three solution comparisons and complete code examples.
Prompt Engineering Advanced Practice: From Tricks to Methodology
From scattered tricks to systematic methodology, deep dive into Chain-of-Thought, ReAct, DSPy and other advanced techniques, master differentiated best practices for Claude and ChatGPT, build an evaluable and iterable Prompt engineering system
Self-Evolving AI: 4 Methods for Continual Learning in 2026
A deep dive into 2026 continual learning trends—from SDFT self-distillation to MiniMax M2.7's self-evolution pipeline. Exploring 4 methods for models that learn while they use, with practical insights from the LangChain three-layer evolution framework.
Can't Afford Vector Databases? Vectorize Free Tier Lets You Build Semantic Search in 30 Minutes
Cloudflare Vectorize zero-cost tutorial: Build semantic search in 30 minutes, saving $50/month compared to Pinecone. Complete code + pitfall guide included, perfect for personal projects and MVPs, with 5 million free vector quota.
RAG System Optimization: Balancing Retrieval Precision and Generation Quality
Struggling with inaccurate RAG retrieval? This guide systematically covers Query processing, hybrid search, reranking, chunking strategies, and evaluation loops—with a decision framework to balance precision and latency.
Prompt Engineering for Business: Customer Service, Sales, and Operations Guide
A practical guide to Prompt Engineering across three key business scenarios: customer service, sales, and operations. Includes real data, reusable Prompt templates, and a 7-step enterprise deployment framework to solve AI implementation challenges.
Build an AI Knowledge Base in 20 Minutes? Complete RAG Tutorial with Workers AI + Vectorize (Full Code Included)
Want to build an AI knowledge base but don't know RAG? This hands-on tutorial shows you how to build a complete RAG application with Cloudflare Workers AI + Vectorize in 20 minutes. Includes full code examples, cost analysis, and practical tips - even beginners can get it running.
Agent Memory System Design: From Session to Long-Term Memory
Building an Agent memory system from scratch: Four memory types selection, five-stage pipeline implementation, Mem0/Zep/LangMem framework comparison, and production-grade cost optimization strategies
Getting Started with MCP Server Development: Build Your First MCP Service from Scratch
Learn MCP Server development from scratch! This hands-on guide uses TypeScript native SDK to build a weather query service with complete implementation of Tools, Resources, and Prompts. Perfect for frontend/full-stack developers - get started in 30 minutes.
LangGraph State Management: Checkpoints, Thread State, and Failure Recovery
A 2026 LangGraph state management guide covering checkpoints, thread state, failure recovery, AutoGen comparison, and monitoring patterns for production agents.
AI Agent Development in Practice: Architecture Design and Implementation Guide
Deep dive into AI Agent architecture design: comparison of ReAct, Plan-and-Execute, and Multi-Agent patterns, five multi-agent orchestration patterns explained, with Claude Agent SDK practical code examples to help you master from theory to practice.
RAG Vector Database Selection: Pinecone vs Weaviate vs Milvus Deep Comparison
RAG vector database selection guide: Deep comparison of Pinecone, Weaviate, and Milvus architecture, performance, pricing, and use cases. Includes LangChain integration code and real cost calculation formulas to help you choose the right retrieval engine for your AI application.
Agent Tool Calling in Practice: Let AI Call External APIs and Services
From Function Calling to MCP, a deep dive into Claude and OpenAI's tool calling mechanisms with complete code examples and best practices to build AI Agents with API calling capabilities
AI Agent Toolchain Design: From Single Tools to Tool Ecosystems - A 2026 Guide
Complete guide to AI Agent toolchain design: MCP protocol, framework selection (LangChain, CrewAI, AutoGen), evolution path from single tools to ecosystems, and enterprise deployment case studies.
LLM Evaluation Framework Comparison: LangSmith vs W&B vs MLflow
An in-depth comparison of three major LLM evaluation frameworks—LangSmith, Weights & Biases, and MLflow—covering tracing capabilities, evaluation methods, production deployment, and real costs to help you make the best choice.
RAG + Agent: Next-Generation AI Application Architecture
Architecture evolution from traditional RAG to Agentic RAG, with detailed comparison of 10 RAG patterns, framework selection guide, enterprise implementation roadmap, and intelligent customer service case study
Agent Evaluation Benchmarks in Practice: A Performance Testing Guide from AgentBench to DeepEval
A comprehensive guide to Agent evaluation benchmarks and performance testing frameworks, comparing five major benchmarks including AgentBench, WebArena, and τ-Bench, with DeepEval component-level evaluation methods and complete code examples.
Computer-Use Agent: Let AI Operate Your Computer
A comprehensive guide to Claude Computer Use technology, from principles to practice. Includes Docker deployment, code examples, competitor analysis, and security best practices for AI desktop automation.
AI Workflow Automation in Practice: n8n + Agent from Beginner to Master
From Zapier to n8n, a detailed guide on the evolution of AI workflow automation. Master n8n AI Agent core features, MCP integration configuration, with a real-world intelligent customer service case study to help you build efficient automated workflows.
Self-Evolving AI: Key Technical Paths for Continuous Model Learning
Deep dive into the four technical paths of self-evolving AI: model-level evolution, context evolution, meta-learning, and architecture evolution, exploring AI's journey from static knowledge to dynamic growth
LangChain LCEL in Practice: From Legacy Chains to Streaming Responses - A Modern Paradigm
LCEL restructures LangChain development with the | operator, reducing code by 70% and adding automatic streaming support. Deep dive into Pipe mechanics, Runnable interface, and streaming with a practical migration guide.
Multi-Agent Collaboration in Practice: A Guide to 4 Architecture Patterns
Master the 4 core architecture patterns for multi-agent collaboration systems, from Subagents to Router, with LangGraph code implementations and production-grade performance optimization tips.
LangGraph Multi-Agent Collaboration in Practice: Supervisor Pattern and Task Dispatch
Deep dive into LangGraph Supervisor pattern architecture, master multi-agent task dispatch and collaboration through a Research + Writing team case study, with complete runnable code examples
How to Evaluate Agent Planning Capabilities: A Practical Guide to Reasoning Depth, Task Decomposition, and Self-Correction Testing
How do you evaluate Agent planning capabilities? This article details evaluation methodologies for reasoning depth, task decomposition, and self-correction, compares mainstream benchmarks like AgentBench, ToolBench, and ACPBench, and provides a practical evaluation guide.
RAG Query Routing in Practice: Multi-Vector Store Coordination and Intelligent Retrieval Distribution
RAG query routing in practice: A systematic comparison of three approaches—logical routing, semantic routing, and EnsembleRetriever—with complete LangChain code implementations, including cost optimization strategies like Semantic Caching and Tiered Retrieval.
Multimodal AI Application Development Guide: From Model Selection to Production Deployment
A comprehensive guide to multimodal AI application development, covering mainstream model comparisons (GPT-4V, Claude Vision, Gemini), practical code for image/video/document processing, and best practices for cost optimization and deployment
Turn Your Game Idea into PRD and Task List with AI
Learn how to use AI to transform your game idea into a complete PRD and development task list in 30 minutes. Includes Prompt templates, game-specific PRD structure, and real-world examples. Perfect for indie developers and small teams.
LLM Structured Outputs: JSON Schema Enforcement and Tool Calling Reliability Assurance
A comprehensive guide to production-grade LLM structured outputs: from JSON Schema enforcement validation to tool calling reliability assurance. Compare OpenAI, Claude, and Gemini implementations, with Python/TypeScript production templates and a three-layer reliability architecture for 100% format compliance.
LangGraph vs AutoGen State Tracking: Checkpoint Mechanisms, Timeout Recovery, and Framework Selection
Deep comparison of LangGraph vs AutoGen state tracking: 12-dimension quantitative analysis covering checkpoint mechanisms, timeout recovery, and distributed support. Includes real-world pitfalls, decision trees, and runnable code to help you choose the right framework
AI Agent Monitoring and Recovery: From Logs to State Machines
AI Agents failing in production with no way to debug? This complete guide covers structured logging, metrics, OpenTelemetry tracing, and state machine patterns for production-ready monitoring.
DeepAgents Architecture: Planning Tools, Sub-agents, and File System
Deep dive into DeepAgents' four-pillar architecture: Planning Tools, Sub-agents, File System, and System Prompts. Compare with LangGraph, AutoGen, and other frameworks. Includes practical code examples and best practices.
Multimodal AI Application Development: A Complete Guide to Three-Modal Fusion
Compare GPT-4V, Gemini, and Claude platforms with complete code examples for text, image, and audio fusion. Learn system architecture design principles and cost control techniques to master multimodal development core skills.
RAG Query Routing in Practice: Multi-Vector Store Coordination and Intelligent Retrieval Distribution
A practical guide to RAG query routing: how to implement multi-vector store coordinated retrieval using EnsembleRetriever and Semantic Router. From logical routing to semantic routing, to RRF algorithm merging, with complete code examples and performance comparisons.
Prompt Engineering Template Library: 12 Reusable Prompt Design Patterns
A proven method for building a Prompt template library, including a four-field structure, 12 Prompt Patterns, multi-model adaptation table, and 5 production-ready templates that can be copied and used directly.
AI Agent Memory Management: Long-term Memory and Knowledge Governance in Practice
A deep dive into AI Agent memory systems: three memory types, four-layer cognitive architecture, and comparison of six major frameworks. From Mem0 to Letta, from vector databases to knowledge graphs—solving Agent memory loss and context decay issues.
Hyper's Company Brain: How Should an AI Agent Knowledge Base Be Designed?
Using Hyper's public launch details, this guide explains how an AI agent company knowledge base should handle facts, permissions, retrieval, hooks, MCP, and human correction, with a 7-day pilot plan for small teams.
