refactoring

安装量: 40
排名: #17980

安装

npx skills add https://github.com/mgd34msu/goodvibes-plugin --skill refactoring

Resources scripts/ validate-refactoring.sh references/ refactoring-patterns.md Refactoring Quality Skill This skill teaches you how to perform safe, systematic code refactoring using GoodVibes precision tools. Refactoring improves code structure and maintainability without changing external behavior, making future development faster and reducing bugs. When to Use This Skill Load this skill when: Code duplication needs to be eliminated Functions or components have grown too large Type safety needs improvement (reducing any usage) Conditional logic has become complex and hard to follow File and folder structure needs reorganization Dependencies are tightly coupled and need inversion Database schema or queries need optimization Code smells are making development slower Trigger phrases: "refactor this code", "reduce duplication", "extract function", "simplify conditionals", "improve types", "reorganize", "clean up code". Core Workflow Phase 1: Analyze - Understand Current State Before refactoring, map the current code structure and identify refactoring opportunities. Step 1.1: Identify Code Smells Use discover to find common code smells that need refactoring. discover : queries :

Large files (> 300 lines)

- id : large_files type : glob patterns : [ "src/*/.{ts,tsx,js,jsx}" ]

Code duplication

- id : duplicate_patterns type : grep pattern : "(function|const|class)\s+\w+" glob : "*/.{ts,tsx,js,jsx}"

Type safety issues

- id : any_usage type : grep pattern : ":\sany(\s|;|,|\))" glob : "/.{ts,tsx}"

Complex conditionals

- id : nested_conditions type : grep pattern : "if\s\(.if\s\(" glob : "/.{ts,tsx,js,jsx}" verbosity : files_only What this reveals: Files that need splitting Repeated code patterns Type safety gaps Complex conditional logic Step 1.2: Understand Dependencies Use precision_grep to map how code is used across the codebase. precision_grep : queries : - id : function_usage pattern : "importFunctionName\(" glob : "/*.{ts,tsx,js,jsx}" output : format : locations verbosity : standard Why this matters: Refactoring requires updating all call sites Breaking changes must be identified upfront Unused code can be safely removed Step 1.3: Ensure Tests Exist Refactoring is only safe when tests validate behavior preservation. discover : queries : - id : test_files type : glob patterns : [ "/.test.{ts,tsx}" , "/.spec.{ts,tsx}" ] - id : source_files type : glob patterns : [ "src/*/.{ts,tsx}" ] verbosity : files_only Critical rule: If tests don't exist, write them BEFORE refactoring Tests act as a safety net to ensure behavior is preserved Run tests before and after refactoring Phase 2: Extract Function/Component Large functions and components are hard to test and maintain. Extract reusable pieces. Step 2.1: Identify Extraction Opportunities Look for repeated logic or code blocks that do one thing. precision_read : files : - path : "src/components/UserProfile.tsx" extract : symbols verbosity : standard Extraction candidates: Code blocks that do one specific task Logic repeated in multiple places Functions longer than 50 lines React components with multiple responsibilities Step 2.2: Extract the Function Before (duplicated validation logic): // In user-routes.ts export async function POST ( request : Request ) { const body = await request . json ( ) ; if ( ! body . email || ! body . email . includes ( '@' ) ) { return Response . json ( { error : 'Invalid email' } , { status : 400 } ) ; } // ... rest of logic } // In profile-routes.ts export async function PUT ( request : Request ) { const body = await request . json ( ) ; if ( ! body . email || ! body . email . includes ( '@' ) ) { return Response . json ( { error : 'Invalid email' } , { status : 400 } ) ; } // ... rest of logic } After (extracted validation): // lib/validation.ts import { z } from 'zod' ; export const emailSchema = z . string ( ) . email ( ) ; export function validateEmail ( email : unknown ) : { valid : true ; email : string } | { valid : false ; error : string } { const result = emailSchema . safeParse ( email ) ; if ( ! result . success ) { return { valid : false , error : 'Invalid email format' } ; } return { valid : true , email : result . data } ; } // user-routes.ts import { validateEmail } from '@/lib/validation' ; export async function POST ( request : Request ) { const body = await request . json ( ) ; const emailResult = validateEmail ( body . email ) ; if ( ! emailResult . valid ) { return Response . json ( { error : emailResult . error } , { status : 400 } ) ; } // ... rest of logic using emailResult.email } Use precision_edit to perform the extraction: precision_edit : operations : - action : replace path : "src/api/user-routes.ts" old_text : | const body = await request.json(); if (!body.email || !body.email.includes('@')) { return Response.json({ error: 'Invalid email' }, { status: 400 }); } new_text : | const body = await request.json(); const emailResult = validateEmail(body.email); if (!emailResult.valid) { return Response.json({ error: emailResult.error }, { status: 400 }); } verbosity : minimal Step 2.3: Extract React Components Before (large component with multiple responsibilities): function UserProfile ( { userId } : { userId : string } ) { const [ user , setUser ] = useState < User | null

( null ) ; const [ posts , setPosts ] = useState < Post [ ]

( [ ] ) ; const [ followers , setFollowers ] = useState < User [ ]

( [ ] ) ; useEffect ( ( ) => { fetch ( /api/users/ ${ userId } ) . then ( r => r . json ( ) ) . then ( setUser ) ; fetch ( /api/users/ ${ userId } /posts ) . then ( r => r . json ( ) ) . then ( setPosts ) ; fetch ( /api/users/ ${ userId } /followers ) . then ( r => r . json ( ) ) . then ( setFollowers ) ; } , [ userId ] ) ; if ( ! user ) return < div

Loading ... < / div

; return ( < div

< h1

{ user . name } < / h1

< p

{ user . bio } < / p

< div

< h2

Posts < / h2

{ posts . map ( post => ( < div key = { post . id }

< h3

{ post . title } < / h3

< p

{ post . content } < / p

< / div

) ) } < / div

< div

< h2

Followers < / h2

{ followers . map ( follower => ( < div key = { follower . id }

< img src = { follower . avatar } alt = "" /

< span

{ follower . name } < / span

< / div

) ) } < / div

< / div

) ; } After (extracted components and hooks): // hooks/useUser.ts export function useUser ( userId : string ) { const [ user , setUser ] = useState < User | null

( null ) ; const [ loading , setLoading ] = useState ( true ) ; useEffect ( ( ) => { fetch ( /api/users/ ${ userId } ) . then ( r => r . json ( ) ) . then ( data => { setUser ( data ) ; setLoading ( false ) ; } ) ; } , [ userId ] ) ; return { user , loading } ; } // components/UserPosts.tsx export function UserPosts ( { userId } : { userId : string } ) { const [ posts , setPosts ] = useState < Post [ ]

( [ ] ) ; useEffect ( ( ) => { fetch ( /api/users/ ${ userId } /posts ) . then ( r => r . json ( ) ) . then ( setPosts ) ; } , [ userId ] ) ; return ( < div

< h2

Posts < / h2

{ posts . map ( post => ( < PostCard key = { post . id } post = { post } /

) ) } < / div

) ; } // components/UserFollowers.tsx export function UserFollowers ( { userId } : { userId : string } ) { const [ followers , setFollowers ] = useState < User [ ]

( [ ] ) ; useEffect ( ( ) => { fetch ( /api/users/ ${ userId } /followers ) . then ( r => r . json ( ) ) . then ( setFollowers ) ; } , [ userId ] ) ; return ( < div

< h2

Followers < / h2

{ followers . map ( follower => ( < FollowerCard key = { follower . id } user = { follower } /

) ) } < / div

) ; } // components/UserProfile.tsx function UserProfile ( { userId } : { userId : string } ) { const { user , loading } = useUser ( userId ) ; if ( loading || ! user ) return < div

Loading ... < / div

; return ( < div

< h1

{ user . name } < / h1

< p

{ user . bio } < / p

< UserPosts userId = { userId } /

< UserFollowers userId = { userId } /

< / div

) ; } Benefits: Each component has a single responsibility Easier to test in isolation Reusable across the application Better performance (can memoize individual pieces) Phase 3: Rename and Reorganize Poor naming and file organization slow development. Step 3.1: Improve Naming Rename variables, functions, and files to be descriptive. Bad naming: function getData ( id : string ) { ... } // Too generic const x = getUserById ( userId ) ; // Unclear abbreviation let flag = true ; // What does this flag represent? Good naming: function getUserProfile ( userId : string ) { ... } // Specific, clear intent const userProfile = getUserById ( userId ) ; // Descriptive let isEmailVerified = true ; // Boolean naming convention Use precision_edit with replace_all for renaming: precision_edit : operations : - action : replace path : "src/lib/user.ts" old_text : "function getData" new_text : "function getUserProfile" replace_all : true verbosity : minimal Step 3.2: Reorganize File Structure Group related files together using feature-based or layer-based structure. Before (flat structure): src/ user-routes.ts user-service.ts user-repository.ts post-routes.ts post-service.ts post-repository.ts After (feature-based structure): src/ features/ users/ api/ routes.ts services/ user-service.ts repositories/ user-repository.ts types/ user.types.ts index.ts # Barrel export posts/ api/ routes.ts services/ post-service.ts repositories/ post-repository.ts types/ post.types.ts index.ts Benefits: Related code is colocated Easier to find files Clear feature boundaries Barrel exports simplify imports Use precision_write to create barrel exports: precision_write : files : - path : "src/features/users/index.ts" content : | export * from './types/user.types'; export * from './services/user-service'; export * from './repositories/user-repository'; verbosity : minimal Phase 4: Simplify Conditionals Nested conditionals and complex boolean logic are error-prone. Step 4.1: Use Guard Clauses Before (nested conditionals): function processOrder ( order : Order ) { if ( order . status === 'pending' ) { if ( order . items . length

0 ) { if ( order . paymentConfirmed ) { // Process order return processPayment ( order ) ; } else { throw new Error ( 'Payment not confirmed' ) ; } } else { throw new Error ( 'Order has no items' ) ; } } else { throw new Error ( 'Order is not pending' ) ; } } After (guard clauses): function processOrder ( order : Order ) { if ( order . status !== 'pending' ) { throw new Error ( 'Order is not pending' ) ; } if ( order . items . length === 0 ) { throw new Error ( 'Order has no items' ) ; } if ( ! order . paymentConfirmed ) { throw new Error ( 'Payment not confirmed' ) ; } return processPayment ( order ) ; } Benefits: Flat structure, easier to read Error conditions checked first Happy path is at the end Step 4.2: Extract Conditionals into Named Functions Before (complex boolean logic): if ( user . role === 'admin' || ( user . role === 'moderator' && user . permissions . includes ( 'delete' ) ) || user . id === post . authorId ) { deletePost ( post . id ) ; } After (named function): function canDeletePost ( user : User , post : Post ) : boolean { if ( user . role === 'admin' ) return true ; if ( user . role === 'moderator' && user . permissions . includes ( 'delete' ) ) return true ; if ( user . id === post . authorId ) return true ; return false ; } if ( canDeletePost ( user , post ) ) { deletePost ( post . id ) ; } Benefits: Self-documenting code Reusable logic Easier to test Step 4.3: Use Strategy Pattern for Complex Conditionals Before (long switch statement): function calculateShipping ( order : Order ) : number { switch ( order . shippingMethod ) { case 'standard' : return order . weight * 0.5 ; case 'express' : return order . weight * 1.5 + 10 ; case 'overnight' : return order . weight * 3 + 25 ; case 'international' : return order . weight * 5 + 50 ; default : throw new Error ( 'Unknown shipping method' ) ; } } After (strategy pattern): interface ShippingStrategy { calculate ( weight : number ) : number ; } class StandardShipping implements ShippingStrategy { calculate ( weight : number ) : number { return weight * 0.5 ; } } class ExpressShipping implements ShippingStrategy { calculate ( weight : number ) : number { return weight * 1.5 + 10 ; } } class OvernightShipping implements ShippingStrategy { calculate ( weight : number ) : number { return weight * 3 + 25 ; } } class InternationalShipping implements ShippingStrategy { calculate ( weight : number ) : number { return weight * 5 + 50 ; } } const shippingStrategies : Record < string , ShippingStrategy

= { standard : new StandardShipping ( ) , express : new ExpressShipping ( ) , overnight : new OvernightShipping ( ) , international : new InternationalShipping ( ) , } ; function calculateShipping ( order : Order ) : number { const strategy = shippingStrategies [ order . shippingMethod ] ; if ( ! strategy ) { throw new Error ( 'Unknown shipping method' ) ; } return strategy . calculate ( order . weight ) ; } Benefits: Open/closed principle (easy to add new strategies) Each strategy is independently testable Eliminates long switch statements Phase 5: Type Improvements Strong typing catches bugs at compile time. Step 5.1: Eliminate any Types Find all any usage: precision_grep : queries : - id : any_usage pattern : ":\sany(\s|;|,|\))" glob : "/.{ts,tsx}" output : format : locations verbosity : standard Before (unsafe): function processData ( data : any ) { return data . value . toUpperCase ( ) ; // Runtime error if value is not a string } After (type-safe): interface DataWithValue { value : string ; } function processData ( data : DataWithValue ) : string { return data . value . toUpperCase ( ) ; } Step 5.2: Use Discriminated Unions Before (weak typing): interface ApiResponse { success : boolean ; data ? : User ; error ? : string ; } function handleResponse ( response : ApiResponse ) { if ( response . success ) { console . log ( response . data . name ) ; // TypeScript can't guarantee data exists } } After (discriminated union): type ApiResponse = | { success : true ; data : User } | { success : false ; error : string } ; function handleResponse ( response : ApiResponse ) { if ( response . success ) { console . log ( response . data . name ) ; // TypeScript knows data exists here } else { console . error ( response . error ) ; // TypeScript knows error exists here } } Benefits: Exhaustive type checking Impossible states are impossible to represent Better IntelliSense Step 5.3: Add Generic Constraints Before (too generic): function getProperty < T

( obj : T , key : string ) { return obj [ key ] ; // Type error: no index signature } After (proper constraints): function getProperty < T extends Record < string , unknown

, K extends keyof T

( obj : T , key : K ) : T [ K ] { return obj [ key ] ; } const user = { name : 'Alice' , age : 30 } ; const name = getProperty ( user , 'name' ) ; // Type is string const age = getProperty ( user , 'age' ) ; // Type is number Benefits: Type inference works correctly Catches invalid key access at compile time Phase 6: Dependency Inversion Decouple code by depending on abstractions, not implementations. Step 6.1: Extract Interfaces Before (tight coupling): import { PrismaClient } from '@prisma/client' ; class UserService { private prisma = new PrismaClient ( ) ; async getUser ( id : string ) { return this . prisma . user . findUnique ( { where : { id } } ) ; } } After (dependency injection): interface UserRepository { findById ( id : string ) : Promise < User | null

; create ( data : CreateUserInput ) : Promise < User

; update ( id : string , data : UpdateUserInput ) : Promise < User

; } class PrismaUserRepository implements UserRepository { constructor ( private prisma : PrismaClient ) { } async findById ( id : string ) : Promise < User | null

{ return this . prisma . user . findUnique ( { where : { id } } ) ; } async create ( data : CreateUserInput ) : Promise < User

{ return this . prisma . user . create ( { data } ) ; } async update ( id : string , data : UpdateUserInput ) : Promise < User

{ return this . prisma . user . update ( { where : { id } , data } ) ; } } class UserService { constructor ( private userRepo : UserRepository ) { } async getUser ( id : string ) { return this . userRepo . findById ( id ) ; } } // Usage const prisma = new PrismaClient ( ) ; const userRepo = new PrismaUserRepository ( prisma ) ; const userService = new UserService ( userRepo ) ; Benefits: Easy to mock in tests (inject fake repository) Can swap Prisma for another ORM without changing UserService Clear separation of concerns Step 6.2: Use Factory Pattern Before (hard to test): function sendEmail ( to : string , subject : string , body : string ) { const client = new SendGridClient ( process . env . SENDGRID_API_KEY ! ) ; // BAD: Non-null assertion bypasses runtime validation client . send ( { to , subject , body } ) ; } After (factory injection): interface EmailClient { send ( email : { to : string ; subject : string ; body : string } ) : Promise < void

; } class SendGridEmailClient implements EmailClient { constructor ( private apiKey : string ) { } async send ( email : { to : string ; subject : string ; body : string } ) { // SendGrid implementation } } class MockEmailClient implements EmailClient { async send ( email : { to : string ; subject : string ; body : string } ) { console . log ( 'Mock email sent:' , email ) ; } } function createEmailClient ( ) : EmailClient { if ( process . env . NODE_ENV === 'test' ) { return new MockEmailClient ( ) ; } const apiKey = process . env . SENDGRID_API_KEY ; if ( ! apiKey ) { throw new Error ( 'SENDGRID_API_KEY environment variable is required' ) ; } return new SendGridEmailClient ( apiKey ) ; } function sendEmail ( client : EmailClient , to : string , subject : string , body : string ) { return client . send ( { to , subject , body } ) ; } Benefits: Tests don't send real emails Easy to swap email providers Environment-specific behavior Phase 7: Database Refactoring Database schemas and queries need careful refactoring. Step 7.1: Add Indexes for Performance Check existing schema: precision_read : files : - path : "prisma/schema.prisma" extract : content verbosity : standard Before (missing indexes): model Post { id String @id @default(cuid()) title String published Boolean @default(false) authorId String createdAt DateTime @default(now()) } After (with indexes): model Post { id String @id @default(cuid()) title String published Boolean @default(false) authorId String createdAt DateTime @default(now()) @@index([authorId]) @@index([published, createdAt]) } When to add indexes: Foreign keys (authorId, userId) Fields in WHERE clauses (published, status) Fields in ORDER BY (createdAt, updatedAt) Compound indexes for multi-column queries Step 7.2: Normalize Database Schema Before (denormalized): model Order { id String @id customerName String customerEmail String customerPhone String } After (normalized): model Customer { id String @id name String email String @unique phone String orders Order[] } model Order { id String @id customerId String customer Customer @relation(fields: [customerId], references: [id]) @@index([customerId]) } Benefits: No data duplication Update customer info in one place Referential integrity Step 7.3: Optimize Queries Before (N+1 query): const posts = await prisma . post . findMany ( ) ; for ( const post of posts ) { const author = await prisma . user . findUnique ( { where : { id : post . authorId } } ) ; console . log ( ${ post . title } by ${ author . name } ) ; // Note: Use structured logger in production } After (eager loading): const posts = await prisma . post . findMany ( { include : { author : true , } , } ) ; for ( const post of posts ) { console . log ( ${ post . title } by ${ post . author . name } ) ; // Note: Use structured logger in production } Use discover to find N+1 patterns: discover : queries : - id : n_plus_one type : grep pattern : "(for|forEach|map).await.(prisma|db|query|find)" glob : "/*.{ts,tsx,js,jsx}" verbosity : locations Phase 8: Validation and Testing Refactoring is only safe when validated by tests. Step 8.1: Run Tests Before Refactoring Establish baseline: tests must pass before you start. precision_exec : commands : - cmd : "npm run test" verbosity : standard If tests fail, fix them first. Step 8.2: Refactor Incrementally Make small changes and validate after each step. Workflow: Run tests (establish baseline) Make one refactoring change Run tests again If tests pass, commit and continue If tests fail, revert and investigate Use precision_exec to validate: precision_exec : commands : - cmd : "npm run typecheck" - cmd : "npm run lint" - cmd : "npm run test" verbosity : standard Step 8.3: Add Tests for Refactored Code If coverage drops, add tests. precision_exec : commands : - cmd : "npm run test -- --coverage" verbosity : standard Check coverage: Functions should be 80%+ covered Critical paths should be 100% covered Edge cases should have explicit tests Phase 9: Update Documentation Refactored code needs updated documentation. Step 9.1: Update JSDoc Comments Before (outdated): / * Gets user data from the database / function getData ( id : string ) { ... } // Function was renamed After (current): / * Retrieves a user profile by ID including related posts and followers * @param userId - The unique identifier for the user * @returns User profile with posts and followers, or null if not found / function getUserProfile ( userId : string ) : Promise < UserProfile | null

{ ... } Step 9.2: Update README and Architecture Docs If file structure changed, update documentation. Example updates: Update file tree in README Update import examples Update architecture diagrams Update contribution guidelines Phase 10: Automated Validation Run the validation script to ensure refactoring quality. ./scripts/validate-refactoring.sh /path/to/project The script validates: Tests pass before and after Code duplication is reduced Type safety improved (no new any types) Functions are within size limits Import cycles eliminated Test coverage maintained or improved Common Refactoring Patterns See references/refactoring-patterns.md for detailed before/after examples. Quick reference: Extract Method When: Function is too long or does multiple things Fix: Extract logical blocks into separate functions Rename Variable/Function When: Name is unclear or misleading Fix: Rename to be descriptive and follow conventions Replace Conditional with Polymorphism When: Switch statement based on type Fix: Use strategy pattern or class hierarchy Introduce Parameter Object When: Function has too many parameters Fix: Group related parameters into an object Replace Magic Numbers When: Hardcoded numbers without context Fix: Extract to named constants Consolidate Duplicate Conditional Fragments When: Same code in all branches Fix: Move common code outside conditional Precision Tools for Refactoring Discover Tool Find refactoring candidates across the codebase. Example: Find duplication discover : queries : - id : validation_patterns type : grep pattern : "if.!.email.includes" glob : "/.{ts,tsx}" - id : large_functions type : symbols query : "function" verbosity : locations Precision Edit Perform safe, atomic refactoring edits. Example: Extract function precision_edit : operations : - action : replace path : "src/api/user.ts" old_text : | if (!email || !email.includes('@')) { return { error: 'Invalid email' }; } new_text : | const emailValidation = validateEmail(email); if (!emailValidation.valid) { return { error: emailValidation.error }; } verbosity : minimal Precision Exec Validate refactoring doesn't break anything. precision_exec : commands : - cmd : "npm run typecheck" - cmd : "npm run lint -- --fix" - cmd : "npm run test" verbosity : standard Validation Script Use scripts/validate-refactoring.sh to validate refactoring quality. ./scripts/validate-refactoring.sh /path/to/project The script checks: Tests passing before and after changes Code duplication metrics Type safety (no new any types) Function size limits Import cycles Test coverage maintained Quick Reference Refactoring Checklist Before refactoring: Tests exist and pass Understand current code structure Identify refactoring goal (extract, rename, reorganize) Map all usage sites During refactoring: Make small, incremental changes Run tests after each change Keep commits focused and atomic Update imports and references After refactoring: All tests pass Type checking passes Linting passes Test coverage maintained or improved Documentation updated Run validation script When to Refactor Good times to refactor: Before adding a new feature (clean up first) When fixing a bug (improve structure while fixing) During code review (suggest improvements) When code smells are noticed (duplication, complexity) Bad times to refactor: While debugging an urgent issue (fix first, refactor later) Without tests (unsafe, can break behavior) Near a deadline (risk introducing bugs) When requirements are changing rapidly Refactoring Safety Rules Tests are mandatory - Never refactor without tests One change at a time - Don't mix refactoring with feature work Validate frequently - Run tests after every change Commit atomically - Each commit should be a complete, working state Preserve behavior - Refactoring should not change functionality Advanced Techniques Automated Refactoring with Precision Tools Use discover to find patterns, then precision_edit to fix them.

Step 1: Find all console.log statements

discover : queries : - id : console_logs type : grep pattern : "console\.log\(" glob : "src/*/.{ts,tsx}" verbosity : locations

Step 2: Replace with proper logger

precision_edit : operations : - action : replace path : "src/file1.ts" old_text : "console.log(" new_text : "logger.info(" replace_all : true verbosity : minimal Parallel Refactoring Refactor multiple files simultaneously using batch operations. precision_edit : operations : - action : replace path : "src/api/user.ts" old_text : "getData" new_text : "getUserProfile" replace_all : true - action : replace path : "src/api/post.ts" old_text : "getData" new_text : "getPostDetails" replace_all : true verbosity : minimal Refactoring Metrics Track improvement over time. Measure before refactoring: precision_exec : commands : - cmd : "find src -not -path '/node_modules/' -not -path '/dist/' -name '.ts' -exec wc -l {} + | tail -1" - cmd : "grep -r --include='.ts' --exclude-dir=node_modules --exclude-dir=dist --exclude-dir=.git --exclude-dir=.next -- 'any' src | wc -l" verbosity : standard Measure after refactoring and compare: Lines of code (should decrease if duplication removed) any usage count (should decrease) Number of files (may increase if splitting large files) Test coverage (should maintain or increase) Integration with Other Skills Use code-review to identify refactoring needs Use type-safety skill for type improvement patterns Use error-handling skill when refactoring error logic Use testing-strategy to ensure adequate test coverage Use component-architecture when refactoring UI components Use database-layer when refactoring database queries Resources references/refactoring-patterns.md - Common refactoring patterns with examples scripts/validate-refactoring.sh - Automated refactoring validation Martin Fowler's Refactoring Catalog - https://refactoring.com/catalog/ Clean Code by Robert C. Martin Refactoring: Improving the Design of Existing Code by Martin Fowler

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