DDD gets people very polarized—so I’m curious where you land.
Here’s what each option means (and when it’s usually true):
- Must-have for complex apps 🚀
When the domain is tricky (rules, edge cases, lots of business logic), DDD helps you keep the code aligned with reality: Ubiquitous Language, clear boundaries, and a model that explains why the system behaves that way.
- Great, but pricey to adopt 🏋️
DDD works, but it costs: time with domain experts, consistent naming, refactoring, and team alignment. You’ll feel the investment before you feel the payoff.
- Overkill for most teams rn 🙃
If the app is CRUD-ish, short-lived, or the domain is simple, DDD patterns can become ceremony: layers, abstractions, and “perfect models” that slow delivery.
- It depends on your domain 🤷
The most honest answer: DDD isn’t a religion. Use the parts that buy clarity (language + boundaries), and go deeper only when complexity earns it.
A quote to keep in mind:
“The heart of software is its ability to solve domain-related problems for its user.” — Eric Evans
What’s been your real-world experience with DDD? (Bonus points if you share the context: monolith vs microservices, team size, domain complexity.)
#DDD #DomainDrivenDesign #SoftwareArchitecture #BoundedContext #UbiquitousLanguage #CleanArchitecture #Microservices #Java #SpringBoot #SoftwareEngineering
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