AI Services and Tools (3)#

In the previous chapters, we looked at major AI services and APIs. In this chapter, we’ll cover tools that are closer to the “ecosystem”: an open-model platform (Hugging Face), an LLM app framework (LangChain), image / video / music generation tools, developer-focused AI coding tools (Copilot / Cursor), and the trend of integrating AI directly into browsers (AI browsers).

Hugging Face#

In the public model ecosystem, there are many options that go beyond what people typically call “open source,” including open-weight models whose weights are publicly available. Hugging Face is one of the most representative platform-and-community hubs for sharing AI models and datasets. You can discover and download models / data, re-share fine-tuned models, and even try models or host demos in the browser, which makes it easier to compare and choose. It also provides features to help users deploy and serve models on clouds (AWS, Google Cloud, Azure, etc.), often via integrations / partnerships.

Where Should You Use Codex? A Guide to CLI, App, Cursor, and Claude Code#

2026-04-12

These days, a lot of people are saying good things about Codex. But the moment you try to actually use it, things get confusing.

• Should you use Codex CLI?
• Is there a separate Codex App?
• Should you install the Codex extension inside Cursor?
• Or is it enough to simply choose a Codex model inside Cursor chat?
• Should you connect it to Claude Code as a plugin?

I had the same questions, so I went through the official documentation and organized what I found. I tried to write this in a way that even beginners, or people who do not usually work with coding tools, can follow comfortably.