#JSON Schema generation
375 related articles
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
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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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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Product Reviews·3 min
One API: A Complete Guide to the Open-Source API Gateway for Unified Management of 30+ LLMs
One API is an open-source LLM API gateway with 32K+ GitHub Stars, supporting unified access to 30+ models including OpenAI, Claude, and DeepSeek. Complete guide covering Docker deployment, Key management, and load balancing.
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Tutorials·2 min
OpenClaw Skills Explained: The Core Skill Files for AI Test Case Auto-Generation
Deep dive into OpenClaw Skills: four core advantages including large-scale instructions, reusability, version control, and progressive loading for AI test case auto-generation.
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Tutorials·2 min
API Automation Testing Framework Design: From Principles to Practice
A deep dive into API automation testing framework design, covering Pytest encapsulation, unified parameter management, API data correlation, and assertion mechanisms.
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Tutorials·2 min
Rapid Mastery of TypeScript and Zod: Essential Skills for AI Full-Stack Developers
Deep dive into TypeScript's type system and Zod runtime validation for AI full-stack development. Master LLM output parsing, API data validation, and become the AI full-stack engineer companies need.
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Tech Frontiers·2 min
Google Gemini 3.5 Launch: Frontier Intelligence Meets Action in the AI Agent Era
Google I/O 2025 unveils the Gemini 3.5 series, combining frontier intelligence with action capabilities. Deep analysis of its AI Agent breakthroughs, Google's ecosystem advantages, and competitive implications.
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Product Reviews·1 min
Google Antigravity SDK Released: A Minimalist Python Framework for Building AI Agents
Google releases Antigravity SDK preview, a Python AI Agent framework. Features minimal code startup, declarative security policies, MCP integration, multimodal input, and streaming output.
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Tutorials·1 min
Skills Mechanism Explained: Engineering Practices for AI On-Demand Capability Loading
Deep dive into AI Skills mechanism: how on-demand capability loading works, Skills vs MCP differences, and practical configuration for PDF parsing with reduced Token consumption.
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Product Reviews·1 min
ChatGPT for PowerPoint Hands-On Review: Complete AI Presentation Workflow & Effectiveness Assessment
Detailed walkthrough of ChatGPT and PowerPoint deep integration workflow—from multi-source material integration and AI outline generation to slide-by-slide optimization with real-world assessment.
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Tutorials·2 min
OpenClaw Agent Architecture in Practice: Skills System Deployment & LangChain Reproduction Guide
Deep dive into OpenClaw's industrial-grade Agent architecture with its three-layer design, pluggable Skills system, and memory management. Includes a step-by-step LangChain reproduction guide with an enterprise HR assistant example.
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Tutorials·2 min
Build an AI Agent in 200 Lines of Python: A Deep Dive into Five Core Modules
Build an AI Agent in 200 lines of Python from scratch. A deep dive into the five core modules: Prompt, Memory, Tool Use, RAG, and Skill, with progressive development workflow.
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Tutorials·2 min
Building an AI Research Assistant with Python + LangChain: Eliminating Academic Hallucinations via MCP
Build an AI research assistant with Python, LangChain, and Consensus MCP. Eliminate LLM hallucinations in academic citations using structured outputs and real-time literature retrieval.
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Tutorials·2 min
OpenAI Codex Hands-On Tutorial: A Complete Guide to Prompt Engineering, Agent Skills & Cloud Automation
Deep dive into OpenAI Codex's three core capabilities: prompt engineering for better code generation, agent skills for autonomous programming, and cloud automation for end-to-end CI/CD pipelines.
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Tutorials·2 min
Practical Guide to Prompt Engineering: Core Optimization Techniques and Pitfalls to Avoid in 2026
A 2026 practical guide to prompt engineering: format selection, system message priority, role setting, few-shot learning, structured output, and how to avoid common pitfalls.
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Tutorials·3 min
OpenClaw Agent Development in Practice: A Complete Guide to the Skill Mechanism and Production-Ready Engineering
Deep dive into OpenClaw's Skill mechanism for AI Agent development, covering Function Calling, RAG, production deployment, and resume-worthy project design.
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Tutorials·4 min
Claude Opus 4.5 Tutorial: Real-World Coding Tests + How to Access from China Without a VPN
Hands-on review of Claude Opus 4.5's coding, writing, and data visualization capabilities. Includes two methods for accessing it from China without a VPN, plus real demos of bug fixing and dashboard development.
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Tutorials·5 min
Trae MCP Plugin for FoxTable in Action: AI Builds a Complete Business System in 4 Minutes
Learn how a custom MCP plugin connects Trae AI IDE with FoxTable, using knowledge bases and prompt engineering to build a complete business system in 4 minutes.
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Tutorials·4 min
Google AI Studio Tutorial: A Complete Guide to Building AI Apps with Zero Code
Complete guide to Google AI Studio: interface layout, Gemini model selection, parameter tuning, and building zero-code AI apps with Build. Covers image, video, and music generation with practical examples.
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