How to Harness Cursor AI for Faster, Higher‑Quality Code Development

Introduction

The recycling team has been using Cursor to assist development and iterating on AI‑driven workflows; this piece explains practical insights on applying AI programming without replacing a developer’s core coding skills.

What Can Cursor Do?

Rather than letting a costly tool ( ~100 CNY per month ) generate only boilerplate beans or mappers, the team feeds it detailed prompts derived from requirement documents to obtain useful, targeted outputs.

Cursor helps developers split the project – creating an initial prompt framework.

Developers enrich the prompts with project specifics.

After development, Cursor assists with regression verification.

1. Let Cursor Help Split the Project

Because generating full code directly is difficult, the first step is to let AI perform simpler tasks such as analyzing the PRD.

Analysis of the new workflow.

Analysis of the current state.

After these steps, Cursor should produce a preliminary functional analysis document that lists entities, VO objects, interfaces, and database tables without detailed implementation.

1.1 Analyzing a New Process (PRD)

Cursor can summarize a PRD, but the document often omits “obvious” context, so the AI needs guidance. A typical prompt looks like:

https://dashen.zhuanspirit.com/pages/viewpage.action?pageId=xxxxxxxx
提取一下上面链接的文档中的内容。帮我提炼【XXXXX账单】部分相关功能，有哪些需要开发的功能点，注意，我们本次仅需要查询XXXX列表以及查询XXXX流水详情，其余相关功能和组件已经实现完成。
分析你需要拆分出多少个功能点以及接口
在我让你写代码之前不要生成代码，先逐步分析需求，再说明你打算怎么做
将你的思考以md的形式保存在.docs/技术设计.md下

Two ways to let Cursor access a login‑protected online PRD: Provide the local cookie so Cursor can fetch the document. Use an MCP solution (details omitted).

Another prompt clarifies what should be excluded:

我们不做数据同步与保存相关的工作，从设计方案中剔除，所有的数据已经准备就绪，我们只需要查询就可以了
帮我设计这个接口的查询的参数与返回值

1.2 Analyzing Existing Code and Impact Scope

Cursor excels at code‑centric tasks. By using plugins such as Mermaid Preview and Markdown Preview Enhanced, developers can generate flowcharts that visualize impact areas.

Flowchart generation plugins

Prompt to generate a business flowchart for a specific method:

com.xxx.xxx.xxx.xxx.facade.SxxxxxxxxFacade #getxxxxxx
针对该方法帮我生成一个.md的业务流程图

2. Help Cursor Better Understand the Project and Generate Code

Before code generation, a detailed technical MD document is prepared to give Cursor full context. The process focuses on four adjustment areas:

Naming and generation location – optionally simplified with rules.

Tooling and service classes used by the AI.

Logic details – e.g., validation rules and order of checks.

Business specifics – extract exact PRD excerpts, or manually describe missing flows.

3. Cursor Assists Regression Verification

Beyond development, Cursor supports post‑development quality assurance through impact assessment and functional verification.

Change impact assessment.

Functional verification.

3.1 Change Scope Collection

Run the following command to capture diffs and store them in cr.diff for later summarization:

git diff origin/master > cr.diff

3.2 Basic Code Review

Guide Cursor with a prompt that lists review rules, for example:

扫描diff 文件中的差异代码。review 的规则如下
1. 方法体行数应少于100行, 不包括空行,和注释
2. 枚举定义需要有两个以上属性, code, name, 并且需要有通过code获取枚举项的方法
3. 接口返回 false , 前端是否有对 false 进行处理 
4. throw 了异常的位置, 一定要打 log 日志 
5. 所有的public 公有方法都要打印入参log.info日志 
6. 所有的public 公有方法, 结束都要打印结束日志 
7. 所有调用rpc的方法, 都要打印日志
8. 所有方法都要有方法级别的注释
9. try catch异常后, 如果在catch 中又抛出了新创建的异常时, 需要将原异常赋值给新异常
10. 不能调用被标记@Deprecated 的属性或方法或类
11. 定义的常量值, 给出清晰的注释说明用途, 避免硬编码
12. 标注了@transactional的方法要明确回滚异常类型, 对于只读操作要标注只读readOnly=true 提高性能
13. 3次以上字符串拼接使用StringBuilder代替字符串拼接
14. 检查是否存在其他破坏兼容性的改动或逻辑上的错误
15. 检查是否存在循环调用导致的逻辑问题
16. 新增的页面提交和支付相关流程要考虑幂等处理
17、接口可能被重复调用和mq消息重复接收场景要考虑并发和事务冲突和数据覆盖，要善用分布式锁
18、针对数据库单一字段的修改，尽可能要精确修改，使用整体对象进行修改
19、是否存在重复代码
20、修改逻辑是否设计到计数系统口径的修改
21、数据交互过程中（数据库和外部调用）的空指针判断和处理
22、状态流转过程和涉及资产损失的部分要对前置状态进行校验
23、涉及数据库和外部事务的接口，要保证整体事务的一致性，无法保证的要有补偿机制
24、涉及异步回调的场景，要考虑中间态的处理
25、不允许把配置规则交给运营同学
26、返回的list类型，要给定默认值，不能给null
27、主键必须设置自增或者使用分布式id
28、数据库表是否建立了索引
29、异常场景要打印报警，尽可能优先多打印
遍历所有规则, 一个规则一个规则的去检查增量代码的规范性, 每个规则进行Review时, 使用独立的上下文, 最后归纳所有的Review结果.
输出违反规则的文件位置, 在我说可以修改之前不要修改文件

3.3 Functional Assistance Verification

After code generation and initial review, use Cursor to automatically generate a self‑test case list covering normal flows, exception inputs, and state checks.

基于当前代码变更，列出需要自测的功能点和边界情况，包括正常流程、异常输入、状态校验等，输出为表格形式，包含用例编号、场景描述、预期结果。

This step reinforces logic verification, reduces regression effort, and improves delivery quality.

Conclusion

The team’s AI‑programming practice shows that developers gain the most by asking the right questions, building clear context, and using Cursor as a collaborative partner for requirement analysis, design, code generation, and validation, thereby creating an efficient, high‑quality development loop.