One Human, One AI, One Verifiable Step: Building MyZubster with Nicola

说明与用途

尼古拉和 AI 为 MyZubster MVP 构建了完整可验证的观察创建、持久化和检索工作流，加入了自动化测试、安全 JSON 持久化和严格输入校验。

问题

Ensuring that an independent MVP can create, persist, and retrieve observations reliably while providing automated verification and robust input validation.

结果

Pull request #1 passed all tests, demonstrating a verifiable observation workflow without modifying main directly.

工作流

• Create observation via API
• Receive HTTP 201 Created
• Persist observation to JSON file
• Retrieve observation through API
• Automated tests confirm all steps

证据

We completed one user story and made it independently verifiable.

来源

The implementation now verifies that the API accepts a valid observation; the server returns the correct 201 Created response; the observation receives an ID; the data is actually written to JSON; the saved observation can be retrieved through the API; invalid JSON, descriptions and coordinates are rejected; automated tests confirm the complete flow.

来源

GitHub Actions executed the complete test suite. Result: successful.

来源