设计数据密集型应用(第二版)
DDIA 第二版中文翻译,系统讲解数据模型、存储、事务、分布式系统、批处理与流处理。
A lightweight bookmark collection and sharing platform
DDIA 第二版中文翻译,系统讲解数据模型、存储、事务、分布式系统、批处理与流处理。
无法自动分析内容,请手动输入描述和分类
No description available
How to remain competitive in the AI era of software engineering
Multi-agent systems that mirror real engineering teams — not just code faster — can cut debug time by 93% and compress cross-team delivery. Here's the architecture built on LangGraph.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
A comprehensive guide to working with coding agents, from starting with plans to managing context, customizing workflows, and reviewing code.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
No description available
Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.
Discover how Anthropic builds AI agents with practical capabilities through modular skills, enabling them to handle complex real-world tasks more effectively and reliably.
Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Writing effective tools for AI agents—using AI agents
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.