Say No to Lombok: Embrace MapStruct + Java Records for Clean, Modern Java

Publish Date: May 15

12 7

Drop the boilerplate and embrace immutability, type safety, and clean mapping in your Spring Boot applications — no more @Data magic ✨.

👋 Goodbye, Lombok (and Why)

If you've been a Java developer for any length of time, you've likely used Lombok to get rid of repetitive getter/setter/constructor code. It’s a convenient crutch—but like all shortcuts, it comes with trade-offs:

IDE confusion: Code generated behind the scenes sometimes breaks static analysis or autocomplete.
Debugging hell: Stepping into generated code? Not easy.
Hidden complexity: Lombok hides a lot of logic, making code less explicit.

It’s 2025 — we can do better.

✅ The Better Way: Java Records + MapStruct

🔹 Java Records

Introduced in Java 14 and stable since Java 16+, record is a special kind of class that’s:

Immutable by default
Comes with a compact syntax
Auto-generates equals(), hashCode(), toString(), and constructors

public record UserDTO(Long id, String name, String email) {}

🔹 MapStruct

MapStruct is a code generator that simplifies object mapping between types (like Entity ↔ DTO).

It’s:

Type-safe and compile-time checked
Blazing fast (no reflection!)
Easy to integrate with Spring Boot

🧑‍💻 Real-World Example: Entity ↔ DTO

1. Define Your JPA Entity

@Entity
public class UserEntity {
    @Id
    private Long id;
    private String name;
    private String email;
}

2. Create an Immutable DTO with Records

public record UserDTO(Long id, String name, String email) {}

3. Auto-map with MapStruct

@Mapper(componentModel = "spring")
public interface UserMapper {
    UserDTO toDTO(UserEntity user);
    UserEntity toEntity(UserDTO dto);
}

Spring will inject UserMapper automatically. No reflection, no surprises.

⚖️ Lombok vs MapStruct + Records

Feature	Lombok	MapStruct + Records
Boilerplate Removal	✅	✅
Immutability	❌ (`@Value` is limited)	✅ (Records are final)
Debuggable	❌ (hidden code)	✅ (explicit and generated)
IDE Support	⚠️ Sometimes flaky	✅ Excellent
Mapping Support	❌ Manual	✅ Automatic via MapStruct
Type Safety	⚠️ Risky	✅ Checked at compile time

🚧 Drawbacks to Consider

Java 14+ required: Records aren’t available in older versions.
No mutable DTOs: If you need setters, Records may not be ideal.
Extra annotation processing setup: MapStruct needs build-time config.

But for most modern Spring Boot microservices or REST APIs? This combo is a clear winner.

🔚 Final Thoughts

Lombok had its time. But in today’s world of immutability, clean architecture, and strong typing, it's time to move on.

By using MapStruct + Java Records, you:

Simplify DTO mapping
Improve code clarity and maintainability
Reduce bugs caused by unintended mutations

📦 Bonus: Starter Template?

Let me know in the comments if you’d like a GitHub starter repo with Spring Boot + MapStruct + Records — happy to share!

Comments 7 total

Semyon LevinMay 17, 2025
1. @Value is more flexible. Especially, together with @builder (+ @default/@Singular)
2. All the bytecode that records have is also non-debuggable. And, frankly, there is nothing to debug in getters
3. MapStruct does support Lombok. @builder is supported too.
4. What can be risky is terms of type-safety?
The only valid point could be IDE support. But current Lombok IDE plugins are very good.

Java authers did a lot in terms of reducing boilerplate, but the points in this particular article are not relevant.
arafMay 19, 2025
@semyon_levin_9929dfb719e8 ,Thanks for your perspective , it's great to see a thoughtful defense of Lombok. You're absolutely right that Lombok brings powerful features like @Value, @builder, @default, and @Singular, and modern IDE plugins have come a long way in supporting it.

However, the risks with Lombok go beyond just type safety or IDE compatibility:
1. Hidden Code Generation: While records generate visible and standard bytecode (and are part of the Java spec), Lombok introduces "magic" that's harder to reason about, especially for new team members or those unfamiliar with its annotations.
2. Debugging and Tooling: Yes, records also generate synthetic methods, but they're part of the language — tools, debuggers, and static analyzers fully understand them. Lombok-generated bytecode can sometimes confuse tools (e.g., when doing static analysis, coverage reports, or reflection).
3. Maintenance Risk: Lombok relies on annotation processing and internal compiler hooks. While it's stable today, it’s not part of the Java language or JDK, which means it can break with major Java upgrades — and it has, historically. Records are forward-compatible and designed to evolve with the JDK. 4._ Build Portability_: Not all build environments or CI pipelines play nicely with Lombok out of the box. This can lead to friction when moving between tools or setting up new projects.
That said, you're right — Lombok is pragmatic and works well in many mature codebases. The article isn’t dismissing its utility, but rather suggesting that with records and MapStruct, many of Lombok's use cases can now be handled in a more transparent and standard way — especially for immutable DTOs and mapping layers.
- Semyon LevinMay 19, 2025
  Using AI for writing articles and comments do not replace real experience
  - Roger WilcoMay 20, 2025
    In my hecking heart!
Roger WilcoMay 19, 2025
What about @Cleanup annotation?
arafMay 19, 2025
@rwilco , Good question,@Cleanup is one of Lombok’s more specialized features, and it does simplify resource management by auto-closing AutoCloseable objects.

If a project is moving toward standard Java features like record classes and away from Lombok to reduce magic and increase transparency, then replacing @Cleanup with try-with-resources aligns with that goal.
Comp AIMay 19, 2025
Thank you! Glad you found it helpful!

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