#AI编程
895 related articles
Product Reviews·2 min
MemPalace: An Open-Source Tool That Gives AI Agents Local Long-Term Memory
MemPalace is an open-source local memory tool that builds long-term memory for AI Agents via verbatim storage, semantic retrieval, and MCP protocol, solving the pain of starting from scratch every session.
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Product Reviews·2 min
Notion MCP Challenge Winners Breakdown: AI Agents Redefine Note-Taking Tools
Deep dive into the three Notion MCP Developer Challenge winners: Note Runway, Deaf Notion, and Relay. See how AI Agents integrate with Notion via MCP to transform note-taking into an AI knowledge hub.
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Product Reviews·2 min
Cursor vs Claude Code vs Windsurf: Hands-On Comparison — Which One Is Worth Your Money?
Hands-on comparison of Cursor, Claude Code, and Windsurf across code quality, dev speed, security, and value — find your ideal AI coding assistant.
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Tutorials
Codex Desktop App Hands-On Tutorial: 1…
·3 min
Codex Desktop App Hands-On Tutorial: 15 Use Cases from Beginner to Advanced
A detailed guide to 15 core use cases for OpenAI's Codex desktop app, covering file management, website development & deployment, browser control, Computer Use, Skills, MCP services, and automation.
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Tutorials·2 min
Gemini 3.0 Pro + Claude Opus 4.5: A Practical Guide to Dual-Model Programming Workflows
Compare Gemini 3.0 Pro and Claude 4.5 Opus in programming tasks, build a dual-model workflow with KiloCode for architecture planning and code execution.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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Deep Dives·3 min
Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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Tutorials·3 min
Claude Code Beginner's Guide: Installation, Cost-Saving Solutions & Source Code Architecture Analysis
Claude Code beginner tutorial covering installation, common issues, low-cost alternatives for budget users, and deep analysis of 8 Agent design patterns revealed by the 510K-line source code leak.
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Tutorials·3 min
From Programmer to Agent Developer: A Detailed Four-Stage Learning Roadmap
A systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
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Tech Frontiers·2 min
Qwen Launches 400+ New Features as Wenxin 5.0 and Multiple LLMs Drop Simultaneously
Alibaba's Qwen APP launches 400+ features integrating Alipay and Taobao, Baidu releases ERNIE 5.0, Meituan unveils deep reasoning model, StepFun tops global speech AI rankings, and Anthropic's share nears Google's.
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Product Reviews
Qwen 3.6 vs Gemma 4: In-Depth Comparis…
·3 min
Qwen 3.6 vs Gemma 4: In-Depth Comparison of Local AI Coding Models Through Real-World Development
Real-world comparison of Qwen 3.6 and Gemma 4 local AI models building a Markdown editor with Tauri, testing planning ability, code generation, and development efficiency.
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Product Reviews·2 min
Kimi K2.6 In-Depth Review: Comprehensive Evaluation of Coding, Multi-Agent, and Frontend Development Capabilities
In-depth review of Kimi K2.6 open-source model across frontend development, multi-agent collaboration, and long-horizon tasks, covering four professional modes, 3D/SVG generation, and pricing analysis.
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Tutorials·3 min
The Complete Guide to Claude Code: From Personal Assistant to AI Agent Development
A systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
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Tutorials·3 min
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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Deep Dives·2 min
Agents Need Control Flow, Not More Prompts
Why do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
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Product Reviews·2 min
Kimi K2.6 Open-Source Hands-On: How Strong Is Its Orchestration of 300 Concurrent Agents?
Deep analysis of Moonshot AI's open-source Kimi K2.6 Agent orchestration: 300 sub-Agents executing 4000-step tasks, outperforming GPT-5.4 in coding benchmarks, LoRA fine-tuning on 2x RTX 4090s.
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Product Reviews·3 min
Claude 4.5 vs Gemini 3 Pro: A Comprehensive Coding Showdown
In-depth comparison of Claude 4.5 vs Gemini 3 Pro across five benchmarks including ARC-AGI-V2, SWE-Bench, and Terminal Bench 2.0, revealing their real coding and reasoning strengths.
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Tutorials·2 min
Five Core Differences Between Claude Code and Traditional AI Chat Tools
Compare Claude Code vs traditional AI chat tools like ChatGPT across 5 dimensions: interaction, context, execution, memory, and tool invocation to decide if this AI coding assistant is right for you.
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Tutorials·3 min
From Traditional RAG to Agentic RAG: Principles Compared and Enterprise-Grade Implementation Guide
Deep dive into traditional RAG limitations and Agentic RAG upgrades, with ChatBox source code analysis covering core tool design, intelligent decision flows, and LangGraph implementation for enterprise deployment.
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