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292 related articles
Product Reviews·2 min
Gained 25K Stars in One Week: This Chinese Open-Source AI Coding Tool Takes on Claude Code
A Chinese open-source AI coding tool gained 25K GitHub Stars in one week, challenging Claude Code with autonomous closed-loop programming, parallel tasks, checkpoint resume, and intelligent model routing.
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Tutorials·3 min
Building an AI Trading Assistant with Claude Code: Full Walkthrough from Order Execution to Risk Management
Hands-on test of building an AI trading assistant with Claude Code + Telegram: natural language orders, funding rate scanning, portfolio dashboards, copy-trading, and security architecture.
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Tutorials·2 min
Analysis of the Kiro, Cursor & Windsurf 3-in-1 Unlimited Refill Tool: Risks and Alternatives
Deep analysis of the Kiro, Cursor & Windsurf 3-in-1 unlimited refill tool: technical implementation, potential risks, account security concerns, and compliant AI coding alternatives.
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Tutorials·2 min
Vue3 + Node.js Full-Stack Tutorial: Building an AI Travel Assistant
Learn how to build an AI travel assistant using Vue3, Node.js, and Alibaba's Qwen LLM, covering multi-turn dialogue, function calling, product recommendations, and full deployment.
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Tutorials·2 min
Deep Dive into Claude Code's Seven-Layer Architecture: Source-Level Analysis of the ReAct Loop and Configuration-Driven Design
Deep analysis of Claude Code's seven-layer architecture, ReAct loop core principles, and configuration-driven design. Source-level deconstruction of AI Agent mechanics with best practices.
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Industry Insights·2 min
OpenAI Symphony: The Future of Coding Agents Is Task Queues, Not Chat Windows
Deep dive into OpenAI's open-source Symphony orchestration framework: how it transforms Coding Agents from chat windows to task queue-driven workflows with state machines, Proof of Work, and Workspace isolation.
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Tutorials·3 min
Claude Code in Practice: A Real Development Workflow Completing a Full Feature in 18 Minutes
Real case study showing Claude Code's efficient dev workflow: four-part prompt template, three-round iterative fixes, code review methods, and decision frameworks to save 60% coding time.
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Tutorials·4 min
AI Trading Bot Battle Royale: Natural Selection Among 15 Agents to Find the Most Profitable
15 AI trading Bots each holding $1,000 compete live on Hyperliquid, with natural selection eliminating losers. Reveals real win rates, optimal strategies, and key risks of AI autonomous trading.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·3 min
Getting Started with FastAPI: A Comprehensive Guide to Frontend-Backend Separation and RESTful API Core Concepts
A systematic guide to core concepts for FastAPI beginners, covering frontend-backend separation architecture, RESTful API design, and JSON data format advantages for Python developers.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Industry Insights·3 min
A2A Intelligent Trading Platform: A New Business Model Where AI Agents Automatically Take Orders and Earn Money
Deep dive into Yoyomit's A2A intelligent trading platform—the world's first marketplace where AI Agents automatically trade, take orders, and settle payments with 95% zero human intervention.
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Tutorials·3 min
LangChain Unified Interface in Practice: A Guide to Avoiding Model Invocation Pitfalls
A detailed comparison of LangChain's two model invocation approaches, focusing on init_chat_model unified interface usage and tips for avoiding DeepSeek V4 Pro Thinking Mode pitfalls in Agent scenarios.
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Tutorials·3 min
7 Official Best Practices for Claude Code Recommended by Anthropic
Anthropic's official Claude Code best practices: 7 core tips covering self-review, plan mode, precise instructions, CLAUDE.md, reverse interviews, session cleanup, and multi-session parallelism.
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Industry Insights·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
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Tutorials·3 min
Building AI Agents with Node.js: Replacing Prompt Engineering with Function Calls
Learn how to refactor a Node.js AI Agent using Function Calls instead of prompt engineering. Covers tool definition via JSON Schema, the Agent Loop, and key implementation details from analyzing Claude Code.
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Research·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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Deep Dives·4 min
MCP Apps Deep Dive: AI Tools Move from Text Exchange to Interactive Collaboration
Deep analysis of MCP Apps: how Anthropic and OpenAI's official MCP extension enables AI tools to return interactive UIs, solving the context gap with Human-in-the-Loop collaboration.
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Product Reviews·2 min
ZenFlow Hands-On: Testing the Spec-Driven Fully Autonomous AI Software Engineer
Hands-on review of ZenFlow—the first spec-driven fully autonomous AI software engineer. Multi-agent parallel collaboration with built-in verification delivers end-to-end development from ideation to production.
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Tutorials·3 min
Complete Vibe Coding Tutorial: 15 Key Steps to Building an AI Agent from Scratch
A systematic breakdown of 15 key steps for building AI Agents with Vibe Coding, covering environment setup, product docs, frontend UI, backend APIs, databases, and deployment.
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