Can CodeBuddy Build a WeChat Interview Quiz Mini‑Program in Minutes?

Background: The author previously open‑sourced PassJava, a Java interview preparation system built with SpringBoot, MyBatis, Redis, MySQL, MongoDB, RabbitMQ, and Elasticsearch, and deployed via Docker.

Goal: Demonstrate how the CodeBuddy AI code‑assistant can quickly create a simplified interview‑question mini‑program for WeChat.

Installing the CodeBuddy Plugin

In the WeChat Developer Tools, open the plugin marketplace, search for "Tencent Cloud CodeBuddy", and click Install to add the plugin.

Generating a Simple Template

When creating a new project, select the most basic template, which only contains a page for obtaining the user's avatar and nickname.

Prompting CodeBuddy to Build the Quiz App

Prompt: "Help me turn this mini‑program into an interview‑question quiz app." CodeBuddy responds by asking for additional details such as the set of questions, features like favorites and wrong‑answer tracking, data source (backend API or local static files), and desired UI style.

After receiving the specifications, CodeBuddy generates the complete code within a few minutes.

Handling Compilation Errors

The generated project fails to run initially, producing errors such as:

[ pages/question-list/question-list.json 文件内容错误] pages/question-list/question-list.json: According to the configuration of the page or app.json, the value of "renderer" in pages/question-list/question-list.json page is "skyline", the "navigationStyle" configuration for the page should be set to "custom" (env: macOS,mp,1.06.2503290; lib: 3.8.3)

Feeding this error back to CodeBuddy prompts it to apply the necessary fixes; manual tweaks are possible if needed.

Resulting UI and Manual Adjustments

The home page now includes modules such as search, question categories, daily recommendation, recent attempts, and an updated bottom navigation bar. Some styling issues remain, which are manually corrected.

After fine‑tuning the styles, the final appearance is satisfactory.

Conclusion

Overall, CodeBuddy significantly accelerates development compared to hand‑coding, allowing developers to input requirements, let the AI generate code, and then resolve any exceptions with its assistance, followed by minor manual style adjustments.