domain-decomposition-api-design-advisor

To define domain boundaries and API contracts in a Kotlin Spring project, you decompose business scope into explicit technical boundaries. This process maps bounded contexts, ownership, and failure handling to prevent implementation drift and align ownership.

Domain decomposition is the process of converting vague product intent into well-scoped domains, boundaries, and API contracts. You need it when shaping a new feature, service, or major redesign to prevent technical drift and improve change resilience.

You document architecture tradeoffs for bounded contexts using Architecture Decision Records (ADRs) to capture rationale. This approach outlines the problem framing, proposed boundaries, consistency map, and tradeoffs to guide architecture decisions in your system.

Yes, applying the domain decomposition approach allows you to identify aggregates, ownership, data boundaries, and failure handling. This explicit mapping ensures that architecture decisions are grounded in clear technical boundaries and structured models.

Yes, applying domain decomposition works effectively for redesigning existing features in a Spring codebase. It clarifies domain boundaries and API contracts first, ensuring that ownership and consistency maps are explicitly defined to improve change resilience.

The best way to prevent implementation drift when decomposing a domain is to establish explicit API contracts and technical boundaries early. Mapping data ownership and failure handling ensures alignment and delivers a structured model including tradeoffs and an ADR outline.