Scaling AI Coding with Prompt Templates

Ad-hoc AI prompting creates inconsistency across engineering teams — different engineers get different results, and hard-won prompting knowledge disappears when people leave. The solution is reusable workflow templates that standardize how teams interact with AI coding agents. A good template includes a clear task definition, context inputs, ordered spec steps, guardrails, and validation criteria. Three ready-to-use templates are provided: migrating React class components to hooks, adding test coverage to untested modules, and generating structured PR descriptions. The post also introduces Aviator Runbooks as a platform for storing and iterating on these templates, with context files that improve over time as teams use them.