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SKILL verified Apache-2.0 Self-run

144 Java Data Oriented Programming

skill-jabrena-cursor-rules-java-144-java-data-oriented-programming · by jabrena

Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validatio…

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Install

$ agentstack add skill-jabrena-cursor-rules-java-144-java-data-oriented-programming

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Java Data-Oriented Programming Best Practices

Apply data-oriented programming in Java: separate data from behavior with records, use immutable data structures, pure functions for transformations, flat denormalized structures with ID references, generic-to-specific type conversion when needed, pure validation functions, and flexible generic data access layers. All transformations should be explicit, traceable, and composed of clear pure functional steps.

What is covered in this Skill?

  • Separation of concerns: data structures (records, POJOs) vs behavior (utility classes, services)
  • Immutability: records, final fields, transformations produce new instances
  • Pure data transformations: functions depending only on inputs, no side effects
  • Flat and denormalized data: ID references instead of deep nesting
  • Generic until specific: Map<String,Object> for dynamic data, convert to records when processing
  • Data integrity: pure validation functions returning validation results
  • Flexible generic data access: generic CRUD interfaces, interchangeable implementations

Scope: The reference is organized by examples (good/bad code patterns) for each core area. Apply recommendations based on applicable examples.

Constraints

Before applying any data-oriented programming recommendations, ensure the project compiles. Compilation failure is a blocking condition. After applying improvements, run full verification.

  • MANDATORY: Run ./mvnw compile or mvn compile before applying any change
  • SAFETY: If compilation fails, stop immediately — do not proceed until resolved
  • VERIFY: Run ./mvnw clean verify or mvn clean verify after applying improvements
  • BEFORE APPLYING: Read the reference for detailed good/bad examples, constraints, and safeguards for each data-oriented programming pattern

When to use this skill

  • Improve the code with Data-Oriented Programming
  • Apply Data-Oriented Programming
  • Refactor the code with Data-Oriented Programming
  • Apply Data-Oriented Programming
  • Refactor the code with Data-Oriented Programming
  • Apply Data-Oriented Programming

Workflow

  1. Compile project before data-oriented changes

Run ./mvnw compile or mvn compile and stop immediately if compilation fails.

  1. Read data-oriented reference and assess model design

Read references/144-java-data-oriented-programming.md and identify candidates for data/behavior separation and immutable transformations.

  1. Apply data-oriented refactorings

Implement selected improvements using records, pure transformation functions, flat structures, and explicit validation.

  1. Verify with full build

Run ./mvnw clean verify or mvn clean verify after applying improvements.

Reference

For detailed guidance, examples, and constraints, see [references/144-java-data-oriented-programming.md](references/144-java-data-oriented-programming.md).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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