#Python vs Java
308 related articles
·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
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·7 min
Connecting Hermes Agent to MCP: One Protocol to Unify All External Systems
Learn how to extend Hermes Agent's external system capabilities via MCP (Model Context Protocol): setup, whitelist permissions, WSL-to-Chrome bridging, and multi-server orchestration for AI Agent developers.
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·6 min
Claude Code Chinese Guide: A Complete Path from Zero to an Efficient Workflow
A systematic Claude Code learning guide built for Chinese developers, covering ten core modules including Slash Commands, Memory, MCP, and Hooks, with a three-tier path to build an AI coding workflow in 11–13 hours.
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·7 min
The Complete Codex Guide: From Installation to Real-World Practice
Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.
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·6 min
Getting Started with LangChain: Unified Interfaces and Agent Development Explained
A beginner's guide to the LangChain open-source framework: explaining how to use the init_chat_model unified interface, tips for disabling DeepSeek's thinking mode, and core essentials of Agent development.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·6 min
LangChain 1.0 Comprehensive Guide: Three Core Frameworks and Hands-On AI Application Development
Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.
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·6 min
Java Developer's Guide to AI Application Development: Building an Airline Intelligent Customer Service System
A practical guide for Java developers to build AI apps without switching to Python. Learn LangChain4j, RAG, Function Calling, and MCP through an airline customer service project.
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·4 min
How to Subscribe to Claude in China Without Getting Banned: Registration, Payment, and API Guide
How can users in China safely subscribe to Claude and avoid getting banned? This guide covers email selection, phone verification, payment channels, refund requests, and using the official API as a long-term alternative to personal subscriptions.
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·6 min
Agent Skills Deep Dive: Concepts, Structure, and Real-World Examples
A comprehensive guide to Agent Skills: what Skills are, how they differ from Prompts, and how to design SKILL.md files. Learn modular AI Agent development through a real restaurant branding example.
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·7 min
Engineering Vibe Coding in Practice: Taming AI Programming with Superpowers and gstack
A deep dive into engineering Vibe Coding: using Superpowers for project-level decomposition and gstack for module layering and constraints to tame AI coding assistants like Codex and Claude Code.
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·4 min
Complete Guide to Connecting External Models in Codex: Two Methods to Unlock Full Capabilities
Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.
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·6 min
10 Billion Tokens in Practice: An In-Depth Review of Codex's Long-Horizon Engineering Capabilities
Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.
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·6 min
LangChain + MCP in Practice: A Pitfall-Avoidance Guide to LLM Selection and Local Deployment
DeepSeek R1 lacks Function Calling and JSON Output by default. Qwen3's programmable thinking modes make it the top open-source agent choice. Key LLM selection pitfalls and MCP protocol updates.
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·7 min
OpenAI Codex Shortcuts Getting an Upgrade — How Will the AI Programming Experience Evolve?
OpenAI announces Codex shortcut upgrades focused on developer workflow optimization. Analysis of upgrade directions, industry competition, and expected improvements to code completion and natural language triggers.
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·6 min
14x Speedup: How Manticore Rebuilt the ONNX Embedding Inference Path
Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.
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·6 min
Playwright's Three Test Agents: A Deep Dive into Planner, Generator, and Healer
Playwright's three new Test Agents—Planner, Generator, and Healer—cover the full pipeline from test design to script generation and auto-repair, integrated with VS Code, Claude Code, and more.
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·6 min
Codex Beginner's Guide: Four Product Forms Explained, Plus Comparison with Claude Code and Cursor
In-depth analysis of OpenAI Codex's four usage forms, comparing Codex, Claude Code, and Cursor across price, stability, and frontend/backend fit to help developers choose the right AI programming tool.
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·3 min
Claude Code in Practice: Writing Maintainable AI Code with the Harness Methodology
Learn how to write controllable, maintainable AI code using the Harness methodology with Claude Code. Covers SDD, Agent orchestration, and enterprise-grade AI programming practices.
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·3 min
Greedy Algorithms and the Knapsack Problem: Core Notes from MIT 6.0002 Lecture 1
A deep dive into MIT 6.0002 Lecture 1: the knapsack problem, brute-force complexity, Python greedy algorithm implementation, and the local optimum trap.
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