#distributed AI development
1240 related articles
Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Tutorials·3 min
Complete Guide to Building AI Agent Projects with WindSurf: Practical Tips & Techniques
Complete practical guide to building AI Agent Frameworks with WindSurf, covering technology selection, component generation, code refactoring, debugging, and deployment tips.
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Tutorials·3 min
Advanced LangGraph in Practice: Complete Guide to Agent Optimization, Evaluation, and Cloud Deployment
Deep dive into three advanced LangGraph topics: multi-agent architecture optimization, evaluation frameworks for non-deterministic AI systems, and cloud deployment with LangGraph Platform.
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Product Reviews·3 min
Zed Editor Lands on Windows: An In-Depth Look at This Free AI Code Editor
Zed editor officially arrives on Windows. Built with Rust, it features Cloud Code, Gemini CLI, and Codex AI Agents, offering a free intelligent coding environment with native debugging.
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Product Reviews·2 min
Devin Cloud Deep Dive: A Cloud-Based AI Development Platform That Replaces All IDEs with a Single Web Page
Deep dive into Devin Cloud, a cloud-based AI development platform featuring device-agnostic development, cloud VM desktops, GitHub integration, MCP tools, and how it fundamentally changes traditional IDE workflows.
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Tutorials·2 min
MCP Service Hybrid Deployment in Practice: Integrating Tools, Resources, and Prompts into a Single Service
Learn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
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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
Hermes Agent WeChat Integration Guide: Deploy Your Personal WeChat AI Bot in Three Steps
Complete guide to Hermes Agent WeChat integration via iLink Bot API. Deploy a personal WeChat AI bot in 3 steps with zero server requirements, featuring 9 core capabilities and 10 troubleshooting tips.
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Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
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Product Reviews·2 min
JCode: Deep Dive into a Multi-AI Agent Collaborative Programming Framework
Deep dive into JCode, an open-source Coding Agent Harness designed for multi-Agent collaboration. Features Agent Memory, Swarm collaboration, multi-Provider access, and self-evolution with just 14ms first-frame latency and 117MB for 10 sessions.
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Tutorials·3 min
Supabase Real-World Testing: How MCP+Skills Enable AI Agents to Safely Operate Databases
Supabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
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Tutorials·3 min
Master Git Without Coding: 5 Plain-Language Commands to Let AI Handle Version Control for You
How can coding beginners use natural language to operate Git? With just 5 plain-language commands via an AI assistant, handle initialization, saving, rollback, branching, and pushing to GitHub—zero experience required.
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Industry Insights·2 min
Nanning Opens First 10 AI OPC Startup Communities — How Solo Developers Can Seize the Opportunity
Nanning opens its first 10 AI OPC (One Person Company) startup communities offering computing power and office space. A guide for indie developers on the opportunity.
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Industry Insights·2 min
Claude Code vs OpenClaw Architecture Comparison: Deep Analysis of Two AI Agent Technical Approaches
Deep comparison of Claude Code and OpenClaw AI Agent architectures—from tool governance pipelines and security sandboxes to memory systems and multi-agent collaboration.
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Product Reviews·3 min
Claude Code v2.1.143 Update: Plugin Dependency Chain Management & Background Session State Persistence
Claude Code v2.1.143 brings intelligent plugin dependency chain management, background session model parameter persistence, Agent mode parameterized configuration, and critical Windows/macOS bug fixes.
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Industry Insights·3 min
GPT 5.5 Dubbed 'Autistic Genius': Codex Downloads Surge 1397%, The Truth Behind the Developer Exodus
OpenAI CEO Altman calls GPT 5.5 an 'Autistic Genius.' Codex downloads surge 1397% to 90M while Claude Code drops 38%. Deep analysis of the developer migration driven by cost, performance, and UX.
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Industry Insights·3 min
China's Internet Giants Collectively Expand AI Capital Expenditure: Six Key Beneficiary Sectors in the Computing Infrastructure Supply Chain
China's internet giants collectively increase AI CapEx as computing infrastructure shifts from expectations to delivery. Analysis of six key beneficiary sectors including AI data centers, chips, and storage.
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Tutorials·3 min
The Complete Guide to Git & GitHub Core Concepts: Version Control in the AI Era
A systematic guide to Git and GitHub core concepts covering Commit, Branch, Merge, Pull Request and more. Master version control from local repos to remote collaboration using AI.
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