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Aarav Joshi
Aarav Joshi

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8 JavaScript Techniques for Building Powerful Code Generation Tools That Save Hours

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8 JavaScript Techniques for Building Code Generation Tools

Building code generation tools changed how I approach repetitive tasks. I remember manually creating React components until my fingers cramped. That frustration sparked my journey into automated code generation. These tools save hours by creating boilerplate, enforcing patterns, and reducing human error.

Template engines form the foundation. They're not just simple find-and-replace systems. I design templates with conditional blocks and loops. For example:

function generateService(serviceName, methods) {
  return `
    class ${serviceName} {
      constructor() { 
        // Initialization logic
      }
      ${methods.map(m => `
        ${m}() {
          return fetch('/api/${serviceName}/${m}');
        }
      `).join('')}
    }
  `;
}
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Notice the embedded expressions and array mapping. Tagged template literals let me create DSL-like syntax for complex cases. I add validation hooks to ensure required context fields exist before rendering.

AST manipulation gives surgical precision. When I needed to update legacy code without breaking formatting, Babel's AST became my scalpel. Here's how I add logging to functions:

const { parse, traverse, generate } = require('@babel/core');

function addLogging(source) {
  const ast = parse(source);

  traverse(ast, {
    FunctionDeclaration(path) {
      const funcName = path.node.id.name;
      const logStmt = parse(`console.log('Entering ${funcName}')`).program.body[0];
      path.get('body').unshiftContainer('body', logStmt);
    }
  });

  return generate(ast).code;
}
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The real power comes in preserving comments and formatting. I combine this with visitor patterns for large-scale refactoring.

Project scaffolding creates living starters. My CLI tool gen-stack produces full project structures. It handles nested templates like this:

const scaffold = {
  'src/': {
    'index.js': mainTemplate,
    'components/': {
      'Button.jsx': buttonTemplate,
      'Header.jsx': headerTemplate
    }
  },
  '.eslintrc': eslintConfig
};

function generateFS(structure, path = '') {
  Object.entries(structure).forEach(([key, value]) => {
    const fullPath = `${path}${key}`;
    if (typeof value === 'string') {
      writeFile(fullPath, value);
    } else {
      mkdirSync(fullPath);
      generateFS(value, `${fullPath}/`);
    }
  });
}
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Post-generation hooks install dependencies and run linting automatically. Conditional templates adjust based on user choices like TypeScript support.

Code injection requires precision. I use marker comments for safe insertions:

// GENERATE-ROUTES-START
// GENERATE-ROUTES-END
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The injection script:

function injectCode(source, newCode, marker) {
  const pattern = new RegExp(`(${marker}-START)([\\s\\S]*?)(${marker}-END)`);
  return source.replace(pattern, `$1\n${newCode}\n$3`);
}
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I added conflict detection by comparing AST fingerprints before and after injection. For React contexts, I analyze existing hooks to avoid duplicates.

Interactive CLIs guide users. Inquirer.js handles complex prompts:

const { prompt } = require('inquirer');

async function configureGenerator() {
  const responses = await prompt([
    {
      type: 'checkbox',
      name: 'features',
      message: 'Select features:',
      choices: ['Auth', 'Analytics', 'Payment']
    },
    {
      type: 'confirm',
      name: 'typescript',
      message: 'Use TypeScript?'
    }
  ]);

  return generateProject(responses);
}
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I validate inputs in real-time - checking component names against existing files. Preview modes show affected files before writing.

Automatic formatting maintains consistency. I pipe generated code through Prettier:

const prettier = require('prettier');

function formatCode(code) {
  return prettier.format(code, {
    parser: 'babel',
    semi: false,
    singleQuote: true
  });
}
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Custom rules handle generated code specifics - like preserving intentional inline comments. Configuration inheritance grabs project's existing settings when available.

Plugin systems extend functionality. My generator core stays lean:

class CodeGen {
  constructor() {
    this.plugins = [];
  }

  register(plugin) {
    this.plugins.push(plugin);
  }

  async generate(templateName, context) {
    let code = await this.loadTemplate(templateName);
    for (const plugin of this.plugins) {
      code = await plugin.transform(code, context);
    }
    return code;
  }
}
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Plugins add framework-specific logic through transformation hooks. Dynamic loading discovers community plugins from npm.

Source maps link generated code. I use Mozilla's source-map library:

const { SourceMapGenerator } = require('source-map');

function createSourceMap(source, generated) {
  const map = new SourceMapGenerator({ file: 'output.js' });
  const lines = source.split('\n');

  lines.forEach((line, i) => {
    map.addMapping({
      source: 'template.js',
      original: { line: i+1, column: 0 },
      generated: { line: i+1, column: 0 }
    });
  });

  return map.toString();
}
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Chained maps track transformations through multiple steps. Debuggers show original template lines instead of generated output.

These techniques transformed my workflow. What took days now takes minutes. Start small - create a component generator. Then expand. Your future self will thank you when the next project kicks off.

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