AI & LLM

Building with language models — from prompt to production.

LLM applications, agent architectures, RAG pipelines, evaluation and model deployment.

210 posts · All topics

1

Part 1 — AI 深海/太空環境音串流實戰（一）：市場分析、科學原理與 AI 工具選擇

系列第一篇：深度分析深海/太空環境音市場機會、聲音設計的科學原理，以及如何使用 AI 工具生成高品質音頻內容。從零開始建立你的沉浸式環境音頻道。

·29 min aibusinesscreative

Claude Code 開發工作流程完整指南：從需求到部署的最佳實踐

詳細解析使用 Claude Code 的標準開發工作流程：涵蓋需求分析、架構設計、功能開發、測試部署等完整生命週期，並提供不同開發情境的具體實踐策略。

·32 min aitools

深入理解 Claude Code Context Window：管理對話上下文的完整指南

深度解析 Claude Code 的 Context Window 機制：從底層原理到實戰策略，學習如何有效管理對話上下文、優化 token 使用，並避免常見陷阱，讓 AI 輔助開發更高效。

·22 min aitools

Claude Code 最佳實踐指南：提升 AI 輔助開發效率的 20 個技巧

完整的 Claude Code 最佳實踐指南：從基礎使用到進階技巧，涵蓋提示工程、檔案管理、錯誤處理與團隊協作，幫助開發者充分發揮 AI 輔助開發的潛力。

·24 min aitools

深入理解 Claude Code 架構：Plugin、Skill、Sub-agent 與 MCP 完整指南

完整解析 Claude Code 的核心架構元件：從底層的 MCP 協議到高層的 Sub-agent，了解 Plugin、Skill、Sub-agent 與 MCP 的運作原理、使用時機與層級關係。

·29 min aitools

Fine-Tuning LLMs with AWS Bedrock: A Complete Guide to Post-Training Customization

Comprehensive guide to fine-tuning and customizing Large Language Models (LLMs) with AWS Bedrock - covering supervised fine-tuning, continued pre-training, and reinforcement fine-tuning with practical examples and AWS CDK infrastructure setup.

·28 min aiinfrastructure

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.

·28 min aiengineeringinfrastructure
2

Part 2 — Advanced MCP Server Development with Database Integration - Part 2

Advanced MCP server development covering database integration, REST API connectors, real-time data processing, and production deployment strategies for Claude Code development workflows.

·33 min aitools
1

Part 1 — Building MCP Servers for Claude Code Development - Part 1

Complete guide to setting up Model Context Protocol (MCP) servers for Claude Code, from basic configuration to building custom tools that enhance your AI-powered development workflow.

·18 min aitools
2

Part 2 — Java Concurrency Deep Dive Part 2: Mastering Runnable, Callable Patterns and Internal Mechanisms

Deep dive into Java concurrency fundamentals: Runnable and Callable internals, thread synchronization mechanisms, memory models, and advanced patterns. Master the building blocks of Java concurrent programming.

·25 min aiengineeringarchitecture