#Python SDK
228 related articles
·3 min
Taste-Skill: The Open-Source AI Taste Engine That Fights Generic AI-Generated Content
Taste-Skill is a viral open-source JavaScript project with 56K+ GitHub Stars. It uses prompt engineering and anti-slop rules to help AI generate higher-quality, more distinctive content.
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·4 min
MCP Practical Tutorial: From Server Development to Multi-Client Integration
A complete MCP practical guide using the official Python SDK — covering environment setup, FastMCP server development, Inspector debugging, and multi-client integration with Cursor and Cline.
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·2 min
Dify + MCP in Practice: Building Enterprise-Grade Role-Specific AI Copilot Workflows
A hands-on guide to building enterprise AI copilot workflows using Dify and MCP. Covers tool integration, parameter passing, code execution, and MCP version compatibility pitfalls.
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·7 min
AI Agent Code Execution Sandbox Selection Guide: In-Depth Comparison of E2B and Four Other Solutions
In-depth comparison of five AI Agent code execution sandbox solutions—E2B, Daytona, Modal, Cloudflare Sandbox, and Vercel Sandbox—across isolation, cold start latency, state management, and pricing.
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·3 min
Dify Comprehensive Guide: The Open-Source Platform for Building AI Apps Without Code
Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.
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·3 min
Why Should Ordinary People Learn Python in the AI Era? The Path from User to Master
Why should ordinary people learn Python in the AI era? Discover Python's value in calling LLM APIs, automating data tasks, and building AI apps to evolve from AI user to AI master.
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·4 min
OpenAI Agents SDK in Practice: Harness and Sandbox Separation Architecture Explained
Deep dive into OpenAI Agents SDK updates covering Harness-Compute separation, Codex-style orchestration, sandbox snapshots, skills system, and multi-agent collaboration with practical demos.
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·3 min
Agent + Skill Architecture: A Practical Guide to AI-Driven End-to-End Automated Testing
Learn how to build an AI-driven API automation testing framework using Agent+Skill architecture with Claude Code, covering test case generation, script execution, and report output.
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·2 min
From Rapper to Wrapper: One Letter Apart, the Ultimate Programmer Self-Roast
Rapper and Wrapper are just one letter apart, yet they capture the humorous gap between childhood dreams and coding reality. Explore the viral meme and the real value of Wrappers.
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·4 min
Spring AI Alibaba Agent in Practice: Building Enterprise-Grade AI Agents Natively in Java
Deep dive into Spring AI Alibaba Agent framework covering core architecture, tool calling, RAG integration, multi-agent collaboration, and production deployment for Java developers.
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·3 min
The Ultimate Ollama Guide: A Complete Walkthrough for Running AI Models Locally
Complete Ollama guide: install and run open-source LLMs like DeepSeek, Llama, and Qwen locally on Windows/Mac/Linux. Free, private, and beginner-friendly.
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·3 min
Java Developer's Guide to AI: Hands-On with Spring AI and RAG
A practical guide for Java developers to build AI apps without switching languages — covering LLM APIs, prompt engineering, RAG, Spring AI, and Langchain4j.
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·2 min
The Biggest Weakness of Chinese AI Models: They Need Frameworks to Work Well
Deep analysis of why Chinese AI models (DeepSeek, Qwen) need opinionated tool frameworks to work properly, exploring training differences, function calling maturity, and framework selection advice.
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·3 min
Python Webhook Callbacks in Practice: Ditch Polling for Efficient Async Communication
Build a complete Python Flask project comparing polling vs. Webhook async communication. Learn to implement callback endpoints for payment notifications and production-grade event-driven architectures.
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·2 min
sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
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·2 min
GitHub Copilot SDK Deep Dive: Core Features and Practical Guide
Deep dive into GitHub Copilot SDK: Agent Loop, Hooks lifecycle control, Custom Agents orchestration, Skills modules, and local model integration for AI app development.
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·3 min
Hermes Agent Practical Tutorial: Architecture Analysis and Three Automation Project Builds
Complete guide to Hermes Agent from basics to practice, covering architecture analysis, Rules.md configuration, MCP service integration, and three hands-on projects: AI news bot, auto blog development, and scheduled code review.
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·2 min
ROS2 Beginner's Guide: Version Selection, Environment Setup & Career Prospects
Complete ROS2 beginner's guide covering core concepts, version selection, Ubuntu VM environment setup, and robotics developer career prospects and salaries.
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·4 min
AI + Java Backend Learning Roadmap: Four Stages from CRUD to Senior AI Engineer
A complete AI + Java backend learning roadmap based on Spring AI Alibaba: from prompt engineering and LLM API integration to RAG knowledge bases and Agent systems across four stages.
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·2 min
Agent Middleware: Adding Interceptors to Model Calls
Learn how AI Agent middleware works through two practical examples — logging and security checks. Master the Observer and Guardian design patterns to build extensible, production-grade Agents.
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