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ai-first-engineering

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AI-First Engineering

AI优先工程

Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
当你为使用AI辅助代码生成的团队设计流程、评审机制和架构时，可使用本技能。

Process Shifts

流程转变

  1. Planning quality matters more than typing speed.
  2. Eval coverage matters more than anecdotal confidence.
  3. Review focus shifts from syntax to system behavior.
  1. 规划质量比编码速度更重要。
  2. 评估覆盖率比主观经验信心更重要。
  3. 评审重点从语法转向系统行为。

Architecture Requirements

架构要求

Prefer architectures that are agent-friendly:
  • explicit boundaries
  • stable contracts
  • typed interfaces
  • deterministic tests
Avoid implicit behavior spread across hidden conventions.
优先选择对Agent友好的架构：
  • 明确的边界
  • 稳定的契约
  • 带类型的接口
  • 确定性测试
避免隐式行为散落在隐藏的约定中。

Code Review in AI-First Teams

AI优先团队的代码评审

Review for:
  • behavior regressions
  • security assumptions
  • data integrity
  • failure handling
  • rollout safety
Minimize time spent on style issues already covered by automation.
评审重点关注：
  • 行为回归
  • 安全假设
  • 数据完整性
  • 故障处理
  • 上线安全
尽量减少花在已经被自动化覆盖的代码风格问题上的时间。

Hiring and Evaluation Signals

招聘与评估信号

Strong AI-first engineers:
  • decompose ambiguous work cleanly
  • define measurable acceptance criteria
  • produce high-signal prompts and evals
  • enforce risk controls under delivery pressure
优秀的AI优先工程师具备以下能力：
  • 清晰拆解模糊工作
  • 定义可衡量的验收标准
  • 产出高信号的提示词和评估方案
  • 在交付压力下仍能落实风险管控

Testing Standard

测试标准

Raise testing bar for generated code:
  • required regression coverage for touched domains
  • explicit edge-case assertions
  • integration checks for interface boundaries
提高生成代码的测试要求：
  • 被改动的领域必须有回归测试覆盖
  • 明确的边界场景断言
  • 针对接口边界的集成检查