Ai First Engineering

affaan-m/ECC/docs/zh-CN/skills/ai-first-engineering

by affaan-mef648e01899ba3e8dc6371642deaaf64b4477775No license275K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 days ago

团队中人工智能代理生成大部分实施输出的工程运营模型。

AI-generated overview

Guidance for teams whose implementation output is largely AI-generated: process, architecture, review and testing standards.

What it does
This skill provides an operating model for engineering teams where AI agents produce most implementation output. It covers process shifts such as planning quality and evaluation coverage, architecture requirements favoring explicit boundaries and typed interfaces, code review focus areas, hiring and evaluation signals, and testing standards for generated code. It produces guidance and checklists rather than files or code.
When to use it
Use it when designing processes, reviews or architecture for a team that relies heavily on AI-assisted code generation. It also fits setting review priorities and test standards for generated code, or assessing engineering signals in hiring.
Requirements
No tools, packages or credentials are required; it is instructions only and ships no scripts.

人工智能优先工程

在为由人工智能辅助代码生成的团队设计流程、评审和架构时,使用此技能。

流程转变

  1. 规划质量比打字速度更重要。
  2. 评估覆盖率比主观信心更重要。
  3. 评审重点从语法转向系统行为。

架构要求

优先选择对智能体友好的架构:

  • 明确的边界
  • 稳定的契约
  • 类型化的接口
  • 确定性的测试

避免隐含的行为分散在隐藏的惯例中。

人工智能优先团队中的代码评审

评审关注:

  • 行为回归
  • 安全假设
  • 数据完整性
  • 故障处理
  • 发布安全性

尽量减少花在已由自动化覆盖的风格问题上的时间。

招聘和评估信号

强大的人工智能优先工程师:

  • 能清晰地分解模糊的工作
  • 定义可衡量的验收标准
  • 生成高价值的提示和评估
  • 在交付压力下执行风险控制

测试标准

提高生成代码的测试标准:

  • 对涉及的领域要求回归测试覆盖率
  • 明确的边界情况断言
  • 接口边界的集成检查

Source and attribution

Source:affaan-m/ECCindocs/zh-CN/skills/ai-first-engineeringat commitef648e0

License: No license

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