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expert-code-refactoring skill

/expert-code-refactoring

This skill guides expert refactoring of Java, JavaScript, and React codebases to improve quality while preserving tests.

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---
name: expert-code-refactoring
description: "Expert code refactoring for Java, JavaScript, and React projects. Focuses on SOLID principles, design patterns, and idiomatic improvements while ensuring test stability."
---

# Refactoring Skill

This skill guides the agent in refactoring codebases by identifying technical debt and applying industry-standard patterns tailored to the specific technology stack.

## General Refactoring Workflow

1.  **Analyze Context:** Read the file and its associated tests. Identify dependencies and usage patterns.
2.  **Verify Tests:** Before any changes, run existing tests to ensure a stable baseline.
3.  **Identify Smells:** Look for long methods, deep nesting, duplicate code, or tight coupling.
4.  **Incremental Changes:** Apply transformations in small, verifiable steps.
5.  **Re-verify:** Run tests after each significant change.

## Architecture & Clean Code (Global)

- **Naming:** Rename variables, functions, and classes to be descriptive and reveal intent. Avoid abbreviations.
- **AHA Programming:** Avoid Hasty Abstractions. Only abstract code when the duplication is clear and the abstraction doesn't make the code harder to follow.
- **Functions:** Keep functions small. Aim for a low number of parameters (prefer objects/records for many parameters).
- **Cognitive Load:** Reduce nesting levels (aim for max 2-3 deep). Use early returns to keep the "happy path" aligned to the left.

## Refactoring for Testability

- **Dependency Injection (DI):** Replace hardcoded instances or static calls with injected dependencies (via constructor or parameters).
- **Interface Segregation:** If a class depends on a large interface but only uses one method, extract a smaller interface.
- **Pure Functions:** Extract business logic into pure functions that don't depend on external state or side effects, making them trivial to unit test.
- **Mocking Boundaries:** Identify "seams" where you can inject mocks (e.g., Database, Network, System Clock).

## Legacy Code Techniques (Safe Changes)

- **Characterization Tests:** If tests are missing, write "Golden Master" tests that record the current behavior *before* changing it.
- **Sprout Method:** When adding a feature to a messy method, write the new logic in a new, clean method and call it from the old one.
- **Wrap Method:** Add new behavior by creating a new method with the same signature that calls the old method and then adds the new logic.
- **Break Dependencies:** Use the "Extract and Override" pattern to isolate untestable static calls or constructors in a protected method that can be overridden in a test subclass.

## Common Code Smells & Solutions

| Smell | Description | Refactoring Pattern |
| :--- | :--- | :--- |
| **Magic Literals** | Hardcoded numbers/strings. | **Extract Constant** or **Enum**. |
| **Long Method** | Method does too many things. | **Extract Method**. |
| **Large Class** | Too many responsibilities. | **Extract Class** or **Extract Interface**. |
| **Feature Envy** | Method uses another object's data more. | **Move Method**. |
| **Primitive Obsession** | Using primitives for domain concepts. | **Introduce Value Object**. |
| **Multi‑File Change Requirement** | One change affects many files. | **Move Field** or **Inline Class** to centralize. |

## Language Specifics

### Java
- **SOLID & Modern Features:** Use `record` (Java 14+), `sealed` classes (Java 17+), and **Switch Pattern Matching**.
- **Streams & Optional:** Replace imperative loops with `Stream`. Use `Optional` to eliminate null checks.
- **Immutability:** Use `final` and immutable collections (`List.of`, `Map.of`).
- **Exception Handling:** Use try-with-resources. Avoid catching `Throwable` or `Exception` generically.

### JavaScript / TypeScript
- **Modern Syntax:** `const` by default, destructuring, spread/rest, arrow functions.
- **TypeScript Advanced:** **Discriminated Unions**, **Utility Types** (`Pick`, `Omit`), and **Custom Type Guards**.
- **Data Integrity:** Use Zod or similar for runtime validation at API/IO boundaries.
- **Async Patterns:** Prefer `Promise.all` for concurrency; avoid "async-await" inside loops where possible.

### React
- **Component Design:** Decompose large components. Extract logic into **Custom Hooks**.
- **State Management:** **Principle of Least Privilege** (keep state local). Avoid **Prop Drilling** with Context or Composition.
- **Performance:** Use `useMemo`/`useCallback` for stable references. Avoid inline function definitions in props of memoized children.
- **Testing:** Focus on user behavior and accessible roles (`getByRole`) via **React Testing Library**.

## Security & Reliability
- **Input Validation:** Sanitize and validate all external input.
- **Secrets:** Never hardcode keys; use environment variables.
- **Dependencies:** Update deprecated/vulnerable packages discovered during refactoring.

## Constraints
- Never change external APIs or public interfaces without explicit user permission.
- Always maintain or improve test coverage.
- Adhere to the project's existing linting and formatting rules.

Overview

This skill provides expert code refactoring for Java, JavaScript/TypeScript, and React projects, focusing on SOLID principles, idiomatic patterns, and safe, incremental changes. It prioritizes test stability and practical improvements that reduce technical debt while preserving public interfaces. The goal is clearer, more maintainable code with measurable test coverage and minimal risk.

How this skill works

The skill analyzes code and associated tests to identify smells, dependencies, and usage patterns. It establishes a safe baseline by running or adding characterization tests, then applies incremental refactorings (naming, small functions, DI, extracts) while re-running tests after each change. Language-specific suggestions (records, streams, Optional for Java; const, types, runtime validation for JS/TS; hooks and composition for React) are applied where they reduce complexity and improve testability.

When to use it

  • When technical debt causes frequent bugs or slows feature delivery
  • Before adding new features to a legacy or poorly tested module
  • When code is hard to understand due to long methods, deep nesting, or duplication
  • When tests are flaky or hard to write because of tight coupling or static dependencies
  • During codebase modernization (new Java language features, TypeScript typing, React hooks)

Best practices

  • Run or add characterization tests before changing behavior; preserve public APIs unless permitted
  • Make small, reversible changes and run tests after each step to maintain stability
  • Prefer dependency injection and pure functions to separate business logic from I/O
  • Avoid premature abstraction; extract only when duplication or complexity is clear
  • Follow existing linting and formatting rules and update dependencies for security fixes

Example use cases

  • Extracting business logic from a large controller into pure services and adding unit tests
  • Replacing static database calls with injected repositories to enable mocking in tests
  • Converting imperative loops to Java Streams and using Optional to remove null checks
  • Refactoring a large React component into smaller components and custom hooks to reduce prop drilling
  • Introducing runtime validation (Zod) at API boundaries while keeping internal functions pure

FAQ

Will refactors change public APIs?

No—public interfaces are preserved unless you explicitly approve API changes. The default is non-breaking, incremental refactors.

How do you ensure tests remain reliable?

By running existing tests first, adding characterization tests when missing, and re-running the test suite after each refactor step; dependency seams are introduced where necessary to enable mocking.