Agent Skills
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ai-first-engineering
GitHub为AI主导代码生成的团队提供工程运营指南。涵盖流程转变、架构要求、代码审查重点及测试标准，旨在通过强化规划、评估和系统行为审查，确保生成代码的质量、安全与稳定性。
Trigger Scenarios
设计AI辅助开发的团队流程
构建适合Agent的架构
制定AI生成代码的审查标准
提升自动化代码的测试覆盖率
Install
npx skills add NeverSight/learn-skills.dev --skill ai-first-engineering -g -y
SKILL.md
Frontmatter
{
"name": "ai-first-engineering",
"origin": "ECC",
"description": "Engineering operating model for teams where AI agents generate a large share of implementation output."
}
AI-First Engineering
Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
Process Shifts
- Planning quality matters more than typing speed.
- Eval coverage matters more than anecdotal confidence.
- Review focus shifts from syntax to system behavior.
Architecture Requirements
Prefer architectures that are agent-friendly:
- explicit boundaries
- stable contracts
- typed interfaces
- deterministic tests
Avoid implicit behavior spread across hidden conventions.
Code Review in AI-First Teams
Review for:
- behavior regressions
- security assumptions
- data integrity
- failure handling
- rollout safety
Minimize time spent on style issues already covered by automation.
Hiring and Evaluation Signals
Strong AI-first engineers:
- decompose ambiguous work cleanly
- define measurable acceptance criteria
- produce high-signal prompts and evals
- enforce risk controls under delivery pressure
Testing Standard
Raise testing bar for generated code:
- required regression coverage for touched domains
- explicit edge-case assertions
- integration checks for interface boundaries
Version History
- e0220ca Current 2026-07-05 23:37
