AI Coding Tools Risk Check: quick fix, steps, and deep guide

Q: AI Coding Tools Risk Check

Treat this as a Codex tutorial issue. Confirm the environment, inputs, permissions, logs, and delivery boundary, then use the linked deep guide for the full checklist.

What is the problem?

新手使用 Codex、Claude Code、ChatGPT 等 AI 编程工具前，应先检查代码权限、敏感数据、客户环境、生成结果和交付责任。

Quick solution

Treat this as a Codex tutorial issue. First confirm the environment, inputs, permissions, logs, and delivery boundary. Then use the linked deep guide for the full checklist before changing production code or promising a result.

Read the deep guide

Detailed steps

当前任务是否影响生产环境：是 / 否
输入内容是否包含密钥或隐私：是 / 否
是否已经脱敏：是 / 否
AI 修改范围是否限定：是 / 否
我是否能解释修改内容：是 / 否
我是否运行了验证命令：是 / 否

Commands or code

输入风险：你给了不该给的数据。
输出风险：工具生成了你看不懂的代码。
执行风险：代码影响了真实环境。
承诺风险：你把未经验证的结果交付给客户。

Risk notes

Confirm the real project environment, account permissions, platform rules, and output quality before delivery. Do not ship AI-generated changes without human review, and do not claim indexing, income, deployment success, or ranking improvements without measured evidence.