AI/ML
ai-first-engineering▌
affaan-m/everything-claude-code · updated Apr 8, 2026
$npx skills add https://github.com/affaan-m/everything-claude-code --skill ai-first-engineering
summary
Engineering operating model for teams shipping code with AI-assisted generation.
- ›Emphasizes planning quality, evaluation coverage, and behavior-focused code review over traditional syntax checking and typing speed
- ›Requires agent-friendly architectures with explicit boundaries, stable contracts, typed interfaces, and deterministic tests to minimize implicit behavior
- ›Shifts review priorities to behavior regressions, security assumptions, data integrity, failure handling, and rollout sa
skill.md
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