ai-first-engineering
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 safety
- Raises testing standards for generated code with required regression coverage, explicit edge-case assertions, and integration checks across interface boundaries
- Identifies key hiring signals: clean decomposition of ambiguous work, measurable acceptance criteria, high-signal prompts and evals, and risk control enforcement under delivery pressure
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.
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