#Claude AI development
3771 related articles
Tutorials·3 min
Dotfiles Configuration in Practice: An AI Programming Tool Integration Refined Over 5,000+ Commits
An in-depth look at a dotfiles configuration refined over 5,000+ commits, covering Neovim, tmux, Claude Code, Copilot, and XMonad keyboard-driven workflows.
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Product Reviews·2 min
WikiGen: A CLI-First Open-Source Code Wiki Generator with Seamless MCP Protocol Integration for AI Editors
WikiGen is an open-source Python code Wiki generator with CLI and MCP protocol support, auto-generating structured docs for codebases and integrating with AI editors as a context provider.
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Deep Dives·3 min
Leashed Open-Source Framework: A Practical Guide to AI Agent Permission Control and Security Governance
Explore Leashed, an open-source security framework for AI Agents offering policy control, audit trails, and Kill Switch mechanisms to build safe, controllable AI agent applications.
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Product Reviews·3 min
SpecMint: A Spec Management Tool That Solves Context Loss for AI Coding Agents
SpecMint Core is an open-source tool providing persistent spec management for AI coding agents like Claude Code and Cursor, solving context loss with deep research, iterative interviews, phased implementation, and context recovery across 8 major AI coding tools.
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Product Reviews·3 min
AI Coding Agent Benchmark: Comprehensive Ranking and Selection Guide for 80+ Tools
Comprehensive comparison of 80+ AI coding agent tools, with SWE-Bench benchmark rankings covering Devin, Cursor, Claude Code, GitHub Copilot and more, plus pricing analysis to help developers choose.
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Tutorials·2 min
7000+ Lines of AI Tool System Prompts: Deep Dive into an Open-Source Project with Practical Guide
Deep dive into the open-source project system-prompts-and-models-of-ai-tools: 7000+ lines of system prompts from ChatGPT, Claude & more, covering prompt engineering best practices and safety design.
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Product Reviews·3 min
AI Coding Assistant System Prompts Collection: Open-Source Repository Featuring Claude Code, Cursor, and Other Leading Tools
The awesome-system-prompts open-source project collects system prompts and tool definitions from leading AI coding assistants like Claude Code, Cursor, Gemini, and Codex — an essential resource for prompt engineering and AI product design.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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Product Reviews·3 min
Skill-Agent: A Production-Grade AI Agent Framework Built on FastAPI with 100+ LLM Support
Deep dive into Skill-Agent, an open-source FastAPI framework integrating 100+ LLM providers, MCP tool protocol, multi-agent collaboration, RAG knowledge base, and sandbox execution for enterprise AI Agent development.
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Tutorials·2 min
OpenClaw Orange Book: An In-Depth Guide to the Open-Source AI Agent Framework
In-depth look at the OpenClaw Orange Book open-source project covering AI Agent framework components, tech ecosystem, and practical development methodology.
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Tutorials·3 min
Hermes Agent Chinese Guide: 16 Volumes, 300K Words from Beginner to Multi-Agent Orchestration
Deep dive into hermes-agent-guide: a 16-volume, 300K-word Chinese manual covering installation, memory systems, skill ecosystems, multi-Agent orchestration, and enterprise deployment.
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Product Reviews·2 min
Fay Open-Source Agent Framework: The Connection Layer Between Digital Humans and Business Systems
Fay is an open-source Agent framework with 12,700+ GitHub Stars, connecting digital humans, LLMs like DeepSeek, and enterprise systems for customer service, virtual streaming, and more.
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Tutorials·3 min
Hermes Agent Orange Book: A Practical Guide to the 3600+ Star Open-Source AI Agent Framework
A deep dive into Nous Research's Hermes Agent open-source AI framework and the community Orange Book guide covering tool calling, reasoning, multi-Agent collaboration, and more.
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Deep Dives·4 min
Deep Dive into Claude Code Source Code: A Complete Guide to Agent Loops, Context Engineering, and Architecture Design
Deep analysis of Claude Code's source architecture: Agent loop mechanism, context engineering strategies, tool system design, and permission controls. Based on the viral GitHub project how-claude-code-works.
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Product Reviews·3 min
Datus-agent: An AI-Native CLI Tool Reshaping Data Engineering with Context Engineering
Deep dive into Datus-agent, an open-source AI-native CLI SQL client that brings Context Engineering to data engineering with natural language queries and modern data stack support.
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Product Reviews·4 min
cased/kit: An Open-Source Toolkit for Context Engineering in AI Coding — Code Search and Symbol Extraction
cased/kit is an open-source Python toolkit for context engineering, providing AI coding assistants with codebase mapping, symbol extraction, and multi-mode code search capabilities.
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Tutorials·4 min
A Practical Guide to Context Engineering: The Path from Prompt Engineering to Production-Grade AI Systems
A deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
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Product Reviews·3 min
MineContext: ByteDance's Open-Source Context Engineering AI Assistant — Technical Deep Dive Behind 5,300+ Stars
Deep dive into ByteDance Volcengine's open-source MineContext — a proactive context-aware AI assistant. Explore Context Engineering, ChatGPT Pulse integration, and real-world applications.
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Tutorials·3 min
Context Engineering: The Practical Method Replacing Vibe Coding to Double Your AI Programming Efficiency
Context Engineering is replacing Vibe Coding as the dominant AI programming methodology. Learn how to build high-quality context for AI coding assistants like Claude Code, with practical steps and open-source project insights.
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Product Reviews·3 min
GSD-2 Open Source Project Deep Dive: How Meta-Prompting + Context Engineering Keep AI Agents Working Autonomously Without Drifting
Deep dive into GSD-2's three core technologies: meta-prompting, context engineering, and spec-driven development — solving the problem of AI agents drifting off-target during long tasks.
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