AI & Agent
Building intelligent systems with LLMs, autonomous agents, and multi-agent architectures. Covers Strands Agents, Amazon Bedrock, RAG, and real-world AI workflows.
7 articles
Claude Code on AWS — 企业 AI 编码完全指南
2026 年，AI 编码已经从"锦上添花"变成了"基础设施"。Anthropic 的 Claude Code 正在以惊人速度席卷企业开发者市场——年化收入 $25 亿+，企业客户数已超 OpenAI。这篇文章从市场格局、产品能力、企业架构、成本分析到竞品对比，帮你一文搞懂 Claude Code on AWS 的全貌。
Claude Code on AWS — 企业培训内容
Claude Code 企业培训完整内容：为何选择 Claude、功能特性与用法、AWS Bedrock 企业价值、单人月成本估算、AI 编码工具对比。涵盖市场地位、技术领先、商业验证、Agentic 工作循环、Token 消耗原理、Prompt Caching 机制、权限模型、SDLC 全覆盖等关键内容。
Amazon AI Strategy 2026: Why the Biggest Player Is the Least Visible
Custom chips, global infrastructure, massive investment — yet Amazon is invisible in the AI race. Here's what's really going on.
Claude Code vs OpenClaw: 510K vs 530K Lines Source Code Showdown
After Claude Code's source leak exposed 512K lines of TypeScript, we finally get a true apples-to-apples comparison with OpenClaw.
WeChat x OpenClaw: Platform Strategy in the AI Agent Era
WeChat's native OpenClaw integration signals a major shift. Why the world's largest messaging app opening up to AI agents matters.
How to Build AI Agents for Ad Creative Generation
Automate ad copywriting, image, and video production with Strands Agents and Amazon Bedrock. A practical, code-first guide.
How to Build a RAG System with LangChain and Elasticsearch
A hands-on guide to building Retrieval Augmented Generation — from vector embeddings to context-enhanced LLM answers.