Engineering
The craft: writing, shipping and fixing real systems.
Backend, frontend and full-stack engineering — languages, frameworks, data pipelines, debugging and performance.
LangGraph + AI 後端實戰：構建智能客服工單處理系統
詳細講解如何使用 LangGraph 和 AI 構建生產級的智能客服工單處理系統，涵蓋架構設計、Agent 定義、狀態管理、錯誤處理和實際案例，幫助你快速上線 AI 驅動的客服系統。
SpotifyMCP2: Control Spotify with Claude via the Model Context Protocol
A deep dive into SpotifyMCP2, an open-source Model Context Protocol server that integrates Claude with the Spotify Web API. Learn how it works, how to set it up, and how to extend it. Covers MCP architecture, OAuth2 flow, TypeScript design, and all 8 exposed tools.
finance_data: A Python Toolkit for Downloading SEC Financial Filings from EDGAR
A complete guide to the finance_data open-source project: a Python-based toolkit for downloading SEC EDGAR financial reports including 10-K annual reports, 10-Q quarterly filings, and 13-F institutional holdings. Covers setup, usage examples, and the underlying architecture.
InvestSkill: Professional Investment Analysis Plugin for Claude Code
Complete guide to InvestSkill, a Claude Code plugin that provides six powerful analytical tools for stock evaluation, fundamental analysis, technical analysis, economics research, portfolio review, and sector analysis. Learn how to integrate AI-powered financial analysis into your development environment.
Part 3 — Crypto Quantitative Trading Part 3: Optimization, Validation, and Production Deployment
Complete guide to deploying quantitative crypto trading strategies to production. Learn validation techniques, optimization methods, live trading APIs, monitoring systems, and ML enhancements. Includes full AWS deployment architecture and Docker containerization.
Part 2 — Crypto Quantitative Trading Part 2: Advanced Strategies and Backtesting Framework
Advanced guide to cryptocurrency trading strategy development and backtesting. Implement multiple strategy types, build robust backtesting frameworks, apply proper risk management, and evaluate performance with industry-standard metrics. Complete with Python implementations.
Part 1 — Crypto Quantitative Trading Part 1: Fundamentals and Essential Concepts
Comprehensive guide to crypto quantitative trading fundamentals. Explore market microstructure, data sources, technical indicators, and statistical analysis. Build production-ready data pipelines for Bitcoin and Ethereum with Python, pandas, and ccxt.
Everything Claude Code: The Ultimate Production-Ready Plugin Collection Guide
Deep dive into the everything-claude-code repository by an Anthropic hackathon winner. Discover how to set up, customize, and leverage production-ready agents, skills, hooks, commands, and MCP configurations for maximum productivity with Claude Code.
Building a Sentiment-Driven US Stock Trading System with X.com Real-Time Analysis
Learn how to architect a production-ready sentiment-driven stock trading platform that streams X.com posts in real-time, analyzes market sentiment using AWS Bedrock and HuggingFace, and automatically executes trades on US stocks based on social media signals.
Building an Intelligent Bitcoin Trading System with AWS CDK and ML Models
Learn how to architect and deploy an intelligent cryptocurrency trading system on AWS using CDK, with historical price analysis, ML-powered predictions from AWS Bedrock and HuggingFace, and event-driven trade execution.
Building Centralized Grafana + Prometheus Monitoring with AWS CDK: Multi-Service Observability Platform
Comprehensive guide to architecting a production-ready centralized Prometheus + Grafana monitoring platform using AWS CDK that aggregates metrics from multiple services, clusters, and infrastructure components with federation, remote storage, and advanced alerting.
Building AI Music Generation Platform: AWS CDK Architecture with SageMaker and Bedrock Comparison
Complete guide to architecting a production-ready AI music generation platform on AWS using CDK, comparing SageMaker and Bedrock approaches with detailed pros, cons, and implementation strategies for generating music from text prompts.
Deploying Apache Superset at Scale: Production-Ready BI Platform with AWS CDK and ECS Fargate
Comprehensive guide to architecting a highly available, production-grade Apache Superset deployment using ECS Fargate, RDS PostgreSQL, and AWS CDK for enterprise business intelligence at scale.
Building a Centralized Monitoring System with AWS CloudWatch and Grafana using CDK
Design and implement a production-ready centralized monitoring and observability platform using AWS CloudWatch, Grafana, and CDK (TypeScript). Learn cross-service log aggregation, metric collection, IAM permissions, dashboard creation, and alerting strategies for monitoring distributed systems.
Building a Centralized User Access Control System with AWS Cognito and CDK
Design and implement a production-ready centralized authentication and authorization system using AWS Cognito and CDK (TypeScript). Learn multi-tenant strategies, user pool management, RBAC/ABAC patterns, and how to integrate with multiple services and applications.
Deploying Hugging Face Models to AWS: A Complete Guide with CDK, SageMaker, and Lambda
Learn how to deploy production-ready Hugging Face AI models to AWS using CDK (TypeScript), SageMaker, and Lambda. Comprehensive guide covering system design, infrastructure setup, model deployment, API creation, and best practices for scalable ML applications.
Express.js Best Practices: Building Production-Ready Node.js Backend Applications
Master Express.js development with comprehensive best practices covering configuration, middleware, routing, security, error handling, and performance optimization. Learn to build scalable, maintainable, and secure Node.js backend applications.
TypeScript Best Practices: A Comprehensive Guide to Type-Safe Development
Master TypeScript development with comprehensive best practices covering configuration, type system, design patterns, code style, and advanced techniques. Learn to write type-safe, maintainable, and scalable TypeScript applications.
Part 8 — Kubernetes Autoscaling Complete Guide (Part 8): Security, Compliance & Governance
Part 8 of the Kubernetes Autoscaling series: Complete guide to securing autoscaling infrastructure with RBAC, policy enforcement, compliance frameworks (PCI-DSS, HIPAA, SOC2), multi-tenancy patterns, audit logging, and governance best practices for enterprise Kubernetes.
Part 7 — Kubernetes Autoscaling Complete Guide (Part 7): Production Troubleshooting & War Stories
Part 7 of the Kubernetes Autoscaling series: Real-world production incidents, debugging workflows, common failure scenarios, and hard-learned lessons from operating autoscaling at scale. Battle-tested troubleshooting guides and postmortem analysis.
Part 6 — Kubernetes Autoscaling Complete Guide (Part 6): Advanced Autoscaling Patterns
Part 6 of the Kubernetes Autoscaling series: Advanced autoscaling patterns for stateful applications, multi-cluster deployments, cost optimization strategies, batch job scaling, and emerging technologies. Real-world architectures and production-grade implementations.
Part 5 — Kubernetes Autoscaling Complete Guide (Part 5): Vertical Pod Autoscaler & Resource Optimization
Part 5 of the Kubernetes Autoscaling series: Deep dive into Vertical Pod Autoscaler (VPA), resource right-sizing strategies, combining VPA with HPA, and production-grade resource optimization techniques for cost-effective Kubernetes operations.
Part 4 — Kubernetes Autoscaling Complete Guide (Part 4): Monitoring, Alerting & Threshold Tuning
Part 4 of the Kubernetes Autoscaling series: Complete guide to monitoring EKS autoscaling with Prometheus and Grafana. Includes CDK setup, alerting rules, custom dashboards, and threshold tuning strategies for production-grade observability.
Part 3 — Kubernetes Autoscaling Complete Guide (Part 3): Hands-On HPA Demo with Apache-PHP
Part 3 of the Kubernetes Autoscaling series: Hands-on tutorial demonstrating Horizontal Pod Autoscaler with a real Apache-PHP application. Includes complete AWS CDK infrastructure code, Kubernetes manifests, load testing, and step-by-step deployment guide.
Part 2 — Kubernetes Autoscaling Complete Guide (Part 2): Cluster Autoscaling & Cloud Providers
Part 2 of the Kubernetes Autoscaling series: Comprehensive guide to cluster-level autoscaling covering Cluster Autoscaler, Karpenter, cloud provider-specific solutions (EKS, GKE, AKS), and emerging technologies for intelligent node provisioning and cost optimization.