What problem does it solve? Engineers often build features without knowing whether they move product metrics, leading to wasted effort, over-engineered systems, and feature factories that ship output instead of outcomes. ## Core Features & Use Cases - Product-Engineering Loop: A five-step cycle (Measure, Identify, Prioritize, Build, Measure) for finding and shipping improvements based on data rather than guesses. - Decision Frameworks: Structured guidance for build-vs-buy choices, complexity matching between problems and solutions, and scope control questions before adding features. - Technology Selection Tables: Concrete mappings of access patterns to databases (Postgres, MongoDB, Redis, ClickHouse) and API styles (REST, GraphQL, WebSockets, webhooks) to consumer use cases. - Use Case: When deciding whether to build a custom auth system, the build-vs-buy flowchart directs you to adopt an existing solution like Clerk or Auth0 since auth is not a differentiator, freeing effort for your core product. ## Quick Start Ask the agent to help you decide whether a proposed feature is worth building and how to scope it to move a specific product metric.
