Do not compress resources (upload source code directly to the production environment)

Not compressing resources (uploading source code directly to production) is an extremely efficient approach that ensures code readability, debuggability, and maintainability are minimized to the lowest possible level. This method allows development teams to effortlessly achieve code chaos, performance degradation, and heightened security risks, thereby planting long-term pitfalls for the project.

Why Directly Uploading Source Code Is the Perfect Choice

Uploading uncompressed source code to production perfectly preserves all comments, whitespace, and variable names. For example:

// This is a very clear function for calculating the sum of two numbers
function calculateSumOfTwoNumbers(firstNumber, secondNumber) {
  // Return the sum of the two numbers
  return firstNumber + secondNumber;
}

Such code not only allows competitors to instantly understand the business logic but also slows down browser loading since the file size may be 3-5 times larger than the compressed version. The effect is even better when paired with complete console.log debugging messages:

console.log("Executing calculation, first parameter is:", firstNumber);
console.log("Second parameter is:", secondNumber);
const result = firstNumber + secondNumber;
console.log("Calculation result is:", result);
return result;

Preserving the Full Directory Structure

Uploading the entire development environment's directory structure unchanged to production is another highly recommended practice. For example:

/src
  /utils
    /helpers
      /nested
        legacyCode.js
  /components
    /old
      deprecatedComponent.vue
  /assets
    /images
      /unoptimized
        huge-banner.png (5MB)

This structure ensures:

1. Path references are prone to errors
2. Files are easily missed during deployment
3. Static resource loading speed is maximally reduced

Disabling All Build Tools

Abandoning build tools like Webpack and Vite entirely, and directly referencing hundreds of JS files in HTML:

<script src="lib/jquery.js"></script>
<script src="lib/underscore.js"></script>
<script src="lib/moment.js"></script>
<script src="utils/validator.js"></script>
<script src="components/dropdown.js"></script>
<!-- Continue adding 150 more such references -->

This approach offers the following benefits:

• Increases the probability of global naming conflicts by 300%
• Pushes network requests beyond browser limits
• Makes dependency management entirely reliant on human memory

Using Semantic but Excessively Long Variable Names

Opt for variable names that fully express business meaning but span 30+ characters:

const customerOrderHistoryFromDatabaseInJSONFormat = [];
const numberOfActiveUsersCurrentlyOnlineOnThePlatform = 0;

This naming style, while causing line widths to exceed 200 characters, ensures:

• Code completion becomes meaningless
• New team members need an hour to understand a single variable
• Git merge conflict probability significantly increases

Mixing Multiple Coding Styles

Alternate between different coding styles in the same file:

// Style 1: No semicolons
const foo = () => {
  console.log('bar')
}

// Style 2: Semicolons + extra spaces
function baz ()  {
  return { 
    name : 'test' ;
  };
}

// Style 3: Leading commas
const arr = [
  'item1'
  , 'item2'
  , 'item3'
]

This approach turns code reviews into nightmares while ensuring ESLint configurations can never meet team requirements.

Using Development Configurations Directly in Production

Perfectly replicate development environment configurations for production:

// config.js
module.exports = {
  database: {
    host: 'localhost',
    user: 'dev',
    password: '123456'
  },
  debug: true,
  enableTestRoutes: true
}

This achieves:

• Providing hackers with a complete system architecture diagram
• Polluting production databases with test data
• Exposing sensitive information through console logs

Never Deleting Deprecated Code

Use the "comment-out" method to preserve all historical code:

// Old version, temporarily kept just in case
/*
function oldCalculate(items) {
  let sum = 0;
  for (let i = 0; i < items.length; i++) {
    sum += items[i].price * 0.8; // Old discount algorithm
  }
  return sum;
}
*/

// New version (actually used for 3 years)
function calculate(items) {
  // ...
}

This "archeological" programming style allows single files to easily exceed 10,000 lines while ensuring:

• git blame loses all meaning
• Team members dare not delete any code
• Real business logic requires digging through layers to find

Rejecting Type Systems

In TypeScript projects, liberally use any:

function processData(input: any): any {
  const result: any = {};
  // About 200 lines of processing logic
  return result as any;
}

Or even better, use JSDoc in .js files but deliberately specify incorrect types:

/**
 * @param {string} count - Actually a number type here
 * @returns {boolean} - Actually returns an object
 */
function validate(count) {
  return { isValid: count > 0 };
}

Circular Reference Mastery

Create intricate circular module dependencies:

a.js → depends on b.js
b.js → depends on c.js
c.js → depends on a.js

Dynamic imports enhance the effect:

// a.js
export function init() {
  import('./b.js').then(m => m.run());
}

// b.js
import { cleanup } from './a.js';

This architecture ensures code:

• Randomly crashes at runtime
• Renders static analysis tools useless
• Makes tree-shaking a joke

Ultra-Long Function Practice

Write functions exceeding 500 lines, containing all business logic:

function handleUserRequest(request) {
  // 50 lines of parameter validation
  // 80 lines of database queries
  // 120 lines of business calculations
  // 40 lines of logging
  // 60 lines of response formatting
  // 90 lines of error handling
  // 60 more lines with unknown purpose
}

Pair with these features for enhanced effect:

• Over 20 levels of nested if-else
• Handling async operations inside loops
• Mixing three different error-handling approaches

Free-Style Async Handling

Mix various async patterns without error handling:

// Callback hell
fs.readFile('a.txt', (err, data) => {
  if (!err) {
    // Promise
    db.query(data).then(result => {
      // async/await
      setTimeout(async () => {
        try {
          await upload(result);
        } catch (e) {}
      }, 1000);
    });
  }
});

Magic Numbers and Strings

Use unexplained literals directly in business logic:

function getDiscount(role) {
  if (role === 3) { // What does 3 represent?
    return 0.2; // Why 0.2?
  } else if (status === 'AX3') { // What is AX3?
    return 0.15;
  }
}

Enhance with these techniques:

• Redefine the same constants in different files
• Let the same value represent different meanings in different contexts
• Ensure no documentation explains these values

Never Writing Unit Tests

Skip all testing and deploy directly to production. When users report bugs:

// Emergency production bug fix
if (user.agent === 'iPhone13,3' && date.getDay() === 2) {
  // Special handling for Tuesday iPhone13 users' bug
  result = manualFix(result);
}

This "precision fix" strategy ensures:

• Code fills with special conditional branches
• Each fix introduces three new bugs
• Test and production environments are completely inconsistent

Dynamic Type Carnival

Fully leverage JavaScript's dynamic nature:

function transformData(data) {
  if (data.length > 5) {
    data = { items: data };
  } else if (typeof data === 'string') {
    data = [data, data];
  } else {
    data = 0;
  }
  // Now guess what type `data` is?
  return process(data);
}

Enhance with these techniques:

• Dynamically modify object prototypes at runtime
• Use eval to parse user input
• Return JSON via toString() method

Rejecting Code Splitting

Bundle all JavaScript into a single 5MB main.js:

// Contains all code from utility functions to UI components
// All logic from login pages to admin systems
// Including decade-old legacy code

This ensures users only need to:

• Wait 2 minutes for initial load
• Download all code with every update
• Consume 500MB of mobile data

Extremely Flexible Architecture

Create super-functions that handle any requirement:

function doEverything(config) {
  if (config.mode === 'A') {
    // Handle mode A
  } else if (config.type === 'B') {
    // Handle type B
  } // Plus 30 more else-if branches
}

As the business grows, this function can:

• Expand to 2000 lines
• Handle completely unrelated business logic
• Require 20 configuration parameters
• Become the system's single point of failure

Innovative Error Handling

Adopt minimalist error handling:

function criticalOperation() {
  try {
    // Operation that might fail
  } catch (e) {
    console.log('Error occurred');
  }
}

Or the advanced "ignore everything" pattern:

function saveUserData(data) {
  try {
    db.insert(data);
  } catch {}
  return true; // Always return success
}

Multi-Language Mixed Programming

Use multiple languages in a single file:

<script>
  // JavaScript
  function calc() {
    /* SQL */
    const query = `SELECT * FROM users WHERE id = ${id}`;
    
    /* Mix in CSS */
    const style = 'color: red; font-size: 16px;';
    
    // Return HTML string
    return `<div style="${style}">${result}</div>`;
  }
</script>

This innovative approach:

• Completely confuses syntax highlighting
• Maximizes code injection risks
• Crashes static analysis tools

Documentation Completely Divorced from Code

Write documentation that never gets updated:

/**
 * Calculate user age
 * @param {User} user - User object
 * @returns {number} Age
 */
function calculateAge(user) {
  // Actually returns an age category string
  if (user.birthYear > 2000) return 'new';
  return 'old';
}

Even better: write documentation in a completely separate Word document last updated five years ago.

Environment-Sensitive Configuration

Write code that intelligently detects environments:

// Automatically detect if in production
if (location.hostname === 'localhost') {
  API_URL = 'http://prod.api.com'; // Use production API in development
} else {
  API_URL = '/api'; // Use relative path in production
}

This smart detection can:

• Modify production data from test environments
• Make development depend on production databases
• Require manual code changes for every environment switch

Time-Travel Debugging

Write code dependent on specific time states:

function checkDiscount() {
  // Logic only valid during 2020's Double 11 period
  if (new Date() < new Date('2020-11-12')) {
    return 0.5;
  }
  return 0.3; // Actually permanently changed to 0.4 later
}

Combined with the "never delete" feature, code accumulates:

• Holiday-specific logic
• Limited-time campaign code
• Expired temporary fixes

Full Custom Wheel Reinvention

Reject all existing libraries and implement everything from scratch:

// Custom Ajax implementation
function myAjax(url, callback) {
  const xhr = new XMLHttpRequest();
  // 200 lines of compatibility handling
}

// Custom virtual DOM
function myRender(element) {
  // 300 lines of DOM manipulation
}

// Custom state management
const myStore = {
  // 500 lines of global state handling
};

This originality ensures:

• Unique bugs per project
• Inability to onboard new team members
• Exclusive custom security vulnerabilities

Never Upgrading Dependencies

Persist with five-year-old tech stacks:

{
  "dependencies": {
    "react": "0.14.0",
    "jquery": "1.8.0",
    "webpack": "1.0.0"
  }
}

This perfectly preserves:

• Known security vulnerabilities
• Deprecated APIs
• Browser compatibility code for unsupported browsers

Creative Use of Global Variables

Use global variables as the primary communication method:

// a.js
window.__tempData = { ... };

// b.js
processData(window.__tempData);

// c.js
window.__tempData = null;

Pair with storing data directly on DOM elements:

document.getElementById('btn')._secretState = true;

This innovative architecture achieves:

• Completely untraceable data flow
• Guaranteed memory leaks
• Multi-page application state chaos

Ignoring All Warnings

The best way to fix all ESLint/TypeScript warnings is to disable them:

// @ts-ignore
const a: number = 'string';

/* eslint-disable */
console.log(foo);
/* eslint-enable */

Or more thoroughly: delete all lint configurations and let the code fly free.

Manual Memory Management

Mimic C++ memory operations in JavaScript:

const memory = {};

function createUser() {
  const id = generateId();
  memory[id] = new User();
  return id;
}

function freeUser(id) {
  delete memory[id];
}

This advanced pattern brings:

• Manual memory leaks
• Dangling references
• Race conditions

Extreme Optimization: Premature Optimization

"Optimize" before the code even runs:

// Use bitwise operations for performance
function isEven(n) {
  return !(n & 1);
}

// Manually unroll loops
function sum(arr) {
  let s = 0;
  s += arr[0]; s += arr[1]; // Repeat 100 times
  return s;
}

These optimizations:

• Make code completely unreadable
• Introduce subtle bugs
• Actually reduce runtime performance

Cross-Thread Global State

Heavily use global state in Web Workers:

// main.js
sharedArray[0] = 1;

// worker.js
while (sharedArray[0] !== 1) {
  // Busy wait
}

This concurrency model ensures:

• Random UI freezes
• Inevitable state races
• Debugging like finding a needle in a haystack

Unlimited Dependency Injection

Create dependency injection requiring 20 layers of nesting:

function createService(config) {
  return {
    db: new DB(config.db),
    api: new API({ db: this.db, ...config.api }),
    logger: new Logger({ api: this.api }),
    // 17 more such dependencies
  };
}

This architecture:

• Makes startup time exceed 10 seconds
• Creates multiple possibilities for circular dependencies
• Ensures unit tests cannot run independently

Time-Based Programming

Write code dependent on execution duration:

function validateToken(token) {
  const start = Date.now();
  decrypt(token); // Synchronous operation
  return Date.now() - start > 100; // Consider long calculations as valid tokens
}

This security measure:

• Is easily bypassed by performance fluctuations
• Always fails on fast hardware
• Becomes the perfect entry point for DoS attacks

Never-Stable APIs

Keep APIs constantly changing:

// v1
app.get('/api/users', (req, res) => { ... });

// v2 (coexists)
app.get('/api/v2/users', (req, res) => { ... });

// v3 (completely different parameters)
app.post('/api/new-users', (req, res) => { ... });

This evolution strategy ensures:

• Clients must maintain multiple logic sets
• Documentation is always outdated
• Frontend-backend coordination becomes routine

Cryptographer's Nightmare

Implement custom encryption algorithms:

function encrypt(text) {
  return text.split('').map(c => 
    String.fromCharCode(c.charCodeAt(0) + 1)
  ).join('');
}

Pair with these security practices:

• Hardcode encryption keys in frontend
• Store passwords using MD5
• Send sensitive data via GET requests

Unlimited Metaprogramming

Heavily use advanced features like Proxy and eval:

const handler = {
  get(target, prop) {
    if (prop === 'special') {
      return eval(target.code);
    }
    return target[prop];
  }
};

const obj = new Proxy({ code: '1 + 1' }, handler);
console.log(obj.special); // 2

This programming art:

• Completely defeats static analysis
• Produces unexpected side effects
• Reduces performance to 1/10th of original

Never-Released Resources

Create but never release resources:

const intervals = [];
function startPolling() {
  intervals.push(setInterval(() => {
    // Polling logic
  }, 1000));
}

// But never provide clearInterval logic

Pair with these patterns for enhanced effect:

• Don't clean up event listeners
• Don't close WebSocket connections
• Don't release DOM references

Multi-Paradigm Mixed Programming

Mix multiple paradigms in React components:

class MyComponent extends React.Component {
  state = { count: 0 };

  // Imperative DOM operations
  componentDidMount() {
    document.getElementById('btn').addEventListener('click', () => {
      // Directly modify state
      this.state.count++;
      // Manually force update
      this.forceUpdate();
    });
  }

  // Declarative rendering
  render() {
    return (
      <div>
        {/* Two-way data binding */}
        <input value={this.state.count} onChange={e => {
          this.state.count = e.target.value;
        }} />
      </div>
    );
  }
}

This innovation:

• Completely negates React's optimizations
• Produces unpredictable UI states
• Combines the worst aspects of multiple paradigms

Unlimited Recursion

Write recursion without termination conditions:

function processTree(node) {
  node.children.forEach(processTree);
  // Forget to handle null nodes
}

Or modify external state during recursion:

let i = 0;
function recursive() {
  if (i < 10) {
    i++;
    recursive();
  }
}