AI First Engineering

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

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