ai-first-engineering

Engineering operating model for teams shipping code with AI-assisted generation. Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation. Prefer architectures that are agent-friendly: Avoid implicit behavior spread across hidden conventions. Review for: Minimize time spent on style issues already covered by automation. Strong AI-first engineers: Raise testing bar for generated code: - 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 - Planning quality matters more than typing speed. - Eval coverage matters more than anecdotal confidence. - Review focus shifts from syntax to system behavior. - explicit boundaries...