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Have AI Edit Files: Intelligent File Generation and Code Creation at Scale

Generate complete files and code automatically with AI. Create React components, API docs, configs, and more at 2000+ tokens/second.

Morph Product Team

Posted by Morph Product Team

1 minute read


2000+
Tokens/Second
99.2%
Generation Accuracy
50+
File Types
<100ms
Response Time

What is AI Write to File?

AI file generation creates complete files from simple descriptions. Tell it what you need, and get production-ready code, documentation, or configuration files in seconds.

What You Can Generate

Complete files from scratch
Code, docs, and config files
Custom templates and boilerplate
50+ programming languages
Context-aware generation
Batch file operations
API and CLI integration

Skip the boilerplate. Instead of copying from Stack Overflow or writing repetitive code, describe what you need and get it instantly.

File Generation Capabilities

Generate any type of file your project needs, from simple scripts to complex application structures.

Supported File Types

Code Files

  • • JavaScript/TypeScript
  • • Python, Java, Go
  • • React Components
  • • API Routes & Controllers
  • • Database Schemas

Configuration

  • • Docker & Kubernetes
  • • CI/CD Pipelines
  • • Environment Files
  • • Package.json/Requirements
  • • Build Configurations

Documentation

  • • README Files
  • • API Documentation
  • • Technical Specs
  • • User Guides
  • • Code Comments

Automated Code Creation

AI-powered code generation enables rapid creation of application components, from individual functions to complete modules and services.

Example: Generate React Component

curl -X POST https://api.morphllm.com/v1/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "react_component",
    "name": "UserProfile",
    "description": "User profile component with avatar, name, email and edit functionality",
    "options": {
      "typescript": true,
      "styled_components": true,
      "include_tests": true
    }
  }'

# Generated files:
# - UserProfile.tsx (component)
# - UserProfile.test.tsx (tests)
# - UserProfile.stories.tsx (storybook)

Frontend Generation

  • • React/Vue/Angular components
  • • State management (Redux, Zustand)
  • • Form handling and validation
  • • API integration hooks
  • • Styling and themes

Backend Generation

  • • API endpoints and routes
  • • Database models and migrations
  • • Authentication middleware
  • • Background job processors
  • • Microservice boilerplate

Documentation & Content Generation

Automated documentation generation ensures your projects maintain comprehensive, up-to-date documentation without manual overhead.

Documentation Types

Technical Documentation

  • • API reference documentation
  • • Architecture decision records
  • • Database schema documentation
  • • Deployment guides and runbooks

User-Facing Content

  • • README files and setup guides
  • • User manuals and tutorials
  • • FAQ and troubleshooting guides
  • • Changelog and release notes

Example: Generate API Documentation

# Generate comprehensive API docs from OpenAPI spec
curl -X POST https://api.morphllm.com/v1/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "api_documentation",
    "source": "openapi_spec.json",
    "output_format": "markdown",
    "include_examples": true,
    "include_sdk_snippets": ["javascript", "python", "curl"]
  }'

# Generated: Complete API documentation with examples and SDK snippets

Template-Based Automation

Advanced templating systems enable consistent file generation across projects while maintaining flexibility for customization and team-specific requirements.

Template Categories

Project Scaffolding

  • Next.js Applications
  • Express.js APIs
  • Python FastAPI
  • Microservice Templates

Component Libraries

  • UI Component Sets
  • Form Components
  • Data Display Components
  • Navigation Elements

Infrastructure

  • Docker Configurations
  • Kubernetes Manifests
  • Terraform Modules
  • CI/CD Pipelines

Custom Template Example

# Create custom template for your team
curl -X POST https://api.morphllm.com/v1/templates \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "company_microservice",
    "description": "Standard microservice template with logging, monitoring, and auth",
    "files": [
      {
        "path": "src/app.ts",
        "template": "express_app_with_auth"
      },
      {
        "path": "Dockerfile",
        "template": "node_alpine_production"
      }
    ],
    "variables": ["service_name", "port", "database_url"]
  }'

Performance & Accuracy

AI file generation systems deliver exceptional performance while maintaining high accuracy and consistency across diverse file types and generation scenarios.

Performance Metrics

File TypeGeneration SpeedAccuracy RateAverage Size
React Components2500 tokens/s99.4%150-300 lines
API Documentation2200 tokens/s99.1%500-1000 lines
Configuration Files3000 tokens/s99.7%50-200 lines
Backend Services1800 tokens/s98.9%300-800 lines

Quality Assurance

Automated Validation

  • • Syntax and linting checks
  • • Type safety validation
  • • Security pattern scanning
  • • Performance optimization hints

Consistency Guarantees

  • • Code style enforcement
  • • Naming convention adherence
  • • Project structure standards
  • • Documentation completeness

Use Cases & Applications

AI file writing serves diverse use cases across development workflows, from rapid prototyping to large-scale application generation.

Rapid Prototyping

Use Case

Startup needs to quickly validate a product idea with a functional MVP featuring user authentication, data management, and basic UI.

Solution

Generate complete full-stack application with authentication, CRUD operations, and responsive UI in minutes.

Generated Files

  • • Frontend: 15+ React components
  • • Backend: 8 API endpoints with validation
  • • Database: Schema and migration files
  • • Infrastructure: Docker and deployment configs

Documentation Automation

Use Case

Engineering team needs to maintain comprehensive documentation for 50+ microservices while focusing on feature development.

Solution

Automated generation of API docs, architectural guides, and operational runbooks from code annotations.

Results

  • 95% reduction in documentation time
  • Always up-to-date with code changes
  • Standardized format across services
  • Improved developer onboarding

API Reference

Comprehensive API documentation for integrating AI file writing capabilities using Morph's OpenAI-compatible endpoint.

File Generation API

OpenAI-Compatible Endpoint

Use the standard chat completions endpoint with structured prompts for file generation

POST https://api.morphllm.com/v1/chat/completions
{
  "model": "morph-v2",
  "messages": [
    {
      "role": "user", 
      "content": "<code></code>\n<update>Create a React TypeScript component for UserCard with props for name, email, avatar</update>"
    }
  ]
}

Streaming Response

Get real-time file generation with streaming enabled

{
  "model": "morph-v2",
  "messages": [...],
  "stream": true
}
// Returns: 2000+ tokens/second generation speed

SDK Integration

import { OpenAI } from 'openai';

const client = new OpenAI({
  apiKey: 'your-api-key',
  baseURL: 'https://api.morphllm.com/v1'
});

// Generate a complete React component
const response = await client.chat.completions.create({
  model: 'morph-v2',
  messages: [
    {
      role: 'user',
      content: `<code></code>
<update>Create a TypeScript React component called ProductCard that displays:
- Product image (required prop: imageUrl)
- Product title (required prop: title) 
- Product price (required prop: price)
- Add to cart button with onClick handler
Include proper TypeScript interfaces and export the component</update>`
    }
  ]
});

const generatedComponent = response.choices[0].message.content;
// Write to file system using Node.js fs or your preferred method

Python Implementation

import openai
import os

client = openai.OpenAI(
    api_key=os.getenv("MORPH_API_KEY"),
    base_url="https://api.morphllm.com/v1"
)

def generate_file(description: str, file_type: str = ""):
    response = client.chat.completions.create(
        model="morph-v2",
        messages=[
            {
                "role": "user",
                "content": f"<code></code>\n<update>Create a {file_type} file: {description}</update>"
            }
        ]
    )
    
    return response.choices[0].message.content

# Generate a Python class
api_class = generate_file(
    "REST API client class with methods for GET, POST, PUT, DELETE",
    "Python"
)

# Write to file
with open("api_client.py", "w") as f:
    f.write(api_class)

Open Source Alternatives

Several open source tools exist for code generation, but they're typically slower and less accurate than dedicated AI file generation services.

Popular Open Source Options

kortix-ai/fast-apply

Open Source

Basic code application tool with limited file generation capabilities.

Speed:

~200 tokens/s

Accuracy:

~75% success rate

File Types:

Limited support

Template Engines

Various

Yeoman, Plop.js, and similar tools for basic scaffolding.

Intelligence:

Template-based only

Setup:

Manual configuration

Context:

No semantic understanding

Why Use Morph Instead

Performance

  • • 10x faster generation (2000+ tokens/s)
  • • 99.2% accuracy across file types
  • • Sub-100ms response times
  • • Intelligent context awareness

Developer Experience

  • • Zero setup required
  • • Standard OpenAI API
  • • Built-in best practices
  • • Enterprise support available

Getting Started Guide

Start generating files with AI in minutes using the same OpenAI-compatible API you already know.

Generate Files with AI

2000+ tokens/second. 50+ file types. Production-ready code.