46 related articles

A systematic guide to AI Agent development from beginner to deployment, covering task planning, tool calling, memory management, learning paths, and realistic commercial monetization considerations.

How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.

Hands-on test of open-source OfficeCLI: a single binary reads, edits, and generates Word/Excel/PPT. 1,000 cells rewritten in 0.37s, Chinese text supported. Covers XML internals, real failures, and AI Agent integration.

Office CLI is an open-source GitHub Trending tool that lets AI Agents create Word, Excel, and PowerPoint files directly — with preview rendering and auto-checks, no Microsoft Office required.

Vibe Coding is the new AI-era programming paradigm. Describe what you want in plain language; let AI generate the code. Learn the 3-stage path: mindset, quality, and real projects.

A complete Python learning path for beginners covering three modules: Fundamentals, Intermediate, and Hands-On Practice — including web scraping, office automation, and data analysis.

ChatGPT desktop gets a major upgrade, integrating Codex into new Work and Codex modules. Hands-on tests cover auto PPT generation and full AI video production pipelines.
When AI Flags an Excel Task as a Secur…
A user creating an Excel financial spreadsheet was flagged as a cybersecurity threat by an AI system. This deep-dive examines why automated moderation fails, how appeals systems can be broken, and what it means for trust in AI services.

A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.

AI Agents are becoming the core form for deploying large models. This article explores the AI Agent Builder profession, revealing the SME deployment gap and a complete path from fundamentals to delivery.

Docx-CLI is an open-source CLI tool for AI agents that strips redundant XML and enables precise editing, helping LLM agents save half the tokens and time on Word docs.

Breaking down a 10-hour Python course for absolute beginners — covering syntax, OOP, functional programming, web scraping, and automation, with mind maps and exercises.

Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.

How can beginners learn Python without getting lost? This guide outlines a 3-stage learning path covering basics, advanced topics, and hands-on practice in web scraping, data analysis, and office automation.

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.

Master OpenAI Codex fast, even from scratch! Learn Codex vs ChatGPT differences, four versions, interface tips, plugins & skills, browser automation, plus six best practices.

OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.

A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.

A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.

How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.