12 related articles

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
Learning AI Agent Development from Scr…
A comprehensive guide to AI Agent development for beginners, covering low-code platforms, LangChain framework, and monetization strategies for building and deploying intelligent agents.

A look at AI's core evolution over two years: from a prompt-dependent instruction follower to an autonomous collaborator that understands intent, plans tasks, and self-corrects.

OpenAI declares 'developers have evolved.' Explore the new builder mindset: the shift from code writers to product builders, lower barriers, and the rise of full-stack individuals in the AI era.
Product ReviewsHands-on review of Tencent WorkBuddy's AI Expert Team collaboration mode for batch-producing healing pet videos. Full workflow from viral analysis to automated generation, with honest assessment.
Industry InsightsBuilding cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
TutorialsA detailed guide on building an intelligent code assistant with the OpenAI API, covering Chat Completions, Responses, and Assistants APIs, GPT-4.5 vs Codex models, and tools like Function Calling and Code Interpreter.
TutorialsA systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
TutorialsDeep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
TutorialsDeep dive into Andrew Ng's Building Your Own Database Agent course with Microsoft, covering LLM-SQL interaction, LangChain Agents, Function Calling, and RAG for tabular data.
Gemini 2.5 Pro 0605 Hands-On Compariso…
Hands-on testing of Gemini 2.5 Pro 0605 across coding, reasoning, creative writing, and app development, compared head-to-head with OpenAI o3 and Claude Opus 4.
Google Anti-Gravity 2.0 Explained: The…
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.