Merge pull request #100 from okwn/fix/https-upgrade-z-ai-link

docs: upgrade http://z.ai to https://z.ai
This commit is contained in:
Sanbu 散步
2026-05-24 16:32:58 +08:00
committed by GitHub
@@ -6,10 +6,10 @@ In the previous lessons, we learned in groups the basics of AI coding, prompt en
To help you review the previous lesson, think through these quick questions:
1. What is AI programming? How can you use an AI coding tool (for example, [z.ai](http://z.ai)) to create a webpage?
1. What is AI programming? How can you use an AI coding tool (for example, [z.ai](https://z.ai)) to create a webpage?
2. What is a large language model? What are prompt engineering and context engineering? How should you write a complex prompt?
3. Across text, AI coding, and image generation, where do you think model strengths and weaknesses show up most clearly?
4. What is an API? How do you use [z.ai](http://z.ai) to connect to third-party APIs?
4. What is an API? How do you use [z.ai](https://z.ai) to connect to third-party APIs?
If any question still feels unclear, you can revisit the previous lesson docs or ask directly in the WeChat group.
@@ -727,7 +727,7 @@ This time we use local code editor [Trae](https://www.trae.cn/).
If you are not familiar with IDE concepts, read:
[Extra Knowledge 4 - What is AI IDE and Trae](https://github.com/datawhalechina/easy-vibe/blob/main/docs/extra/extra4/extra4-what-is-ai-ide-and-trae.md)
If your local environment is not fully configured, do not worry. If you trust your coding assistant (whether [z.ai](http://z.ai) or Trae), you can directly send any issue/errors and it will provide resolution guidance.
If your local environment is not fully configured, do not worry. If you trust your coding assistant (whether [z.ai](https://z.ai) or Trae), you can directly send any issue/errors and it will provide resolution guidance.
![](/zh-cn/stage-2/ai-capabilities/dify-knowledge-base/images/image78.png)
@@ -735,7 +735,7 @@ The right panel is Copilot/Agent interaction window. If not visible, click top-r
![](/zh-cn/stage-2/ai-capabilities/dify-knowledge-base/images/image79.png)
After opening sidebar, you will see `Builder` option. This is Agent mode. You can roughly treat "Builder" as the "development mode" of [z.ai](http://z.ai): it can help with local environment operations, dependency installs, opening webpages, etc.
After opening sidebar, you will see `Builder` option. This is Agent mode. You can roughly treat "Builder" as the "development mode" of [z.ai](https://z.ai): it can help with local environment operations, dependency installs, opening webpages, etc.
![](/zh-cn/stage-2/ai-capabilities/dify-knowledge-base/images/image80.png)
@@ -751,7 +751,7 @@ At the bottom, there is model selection dropdown. You can choose Kimi k2 or GLM.
![](/zh-cn/stage-2/ai-capabilities/dify-knowledge-base/images/image82.png)
That is a brief Trae intro. Next we reuse operational ideas from [z.ai](http://z.ai) inside Trae.
That is a brief Trae intro. Next we reuse operational ideas from [z.ai](https://z.ai) inside Trae.
## 2.9 Build a Frontend Chat App Using Dify API
@@ -867,7 +867,7 @@ Because LLMs are stochastic, a single round may work while multi-turn chat fails
![](/zh-cn/stage-2/ai-capabilities/dify-knowledge-base/images/image93.png)
At this point, you can build a simple Dify knowledge-base agent and use Trae (instead of [z.ai](http://z.ai)) to build an interactive frontend. From now on, Trae will become our primary prototyping tool, gradually replacing [z.ai](http://z.ai). You can try re-implementing the snake game in Trae and compare the experience. Keep going.
At this point, you can build a simple Dify knowledge-base agent and use Trae (instead of [z.ai](https://z.ai)) to build an interactive frontend. From now on, Trae will become our primary prototyping tool, gradually replacing [z.ai](https://z.ai). You can try re-implementing the snake game in Trae and compare the experience. Keep going.
# 3. More Business Workflow References