Automated Edits Application with 2000+ Tokens/Second

What is AI Patch Application?

AI patch application automates the tedious process of applying git diffs and patches to your codebase. Instead of manually resolving conflicts and context mismatches, AI understands your code semantically and applies changes intelligently.

Traditional tools break when code has changed since the patch was created. AI patch application understands context and intent, making smart decisions about where and how to apply changes.

How AI Apply Patch Works

The system uses a four-stage pipeline that analyzes diffs, understands code semantics, detects conflicts, and applies changes intelligently.

Git Diff to Code Automation

Connect directly to your git workflow. Apply patches from pull requests, commits, or diff files while maintaining version control integrity.

# Generate and apply patch automatically
git diff HEAD~1 > changes.patch

curl -X POST https://api.morphllm.com/v1/apply-patch \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "repository": "my-repo",
    "patch_file": "changes.patch",
    "target_branch": "main",
    "auto_resolve_conflicts": true
  }'

# Result: Patch applied with 99.2% accuracy

Integration Options

• Git Hooks: Auto-apply patches on commit/push
• PR Automation: Apply patches from pull request diffs
• Branch Sync: Keep feature branches updated automatically
• Conflict Prevention: Detect and resolve conflicts early

Performance Benchmarks

Comprehensive benchmarking demonstrates significant performance advantages over manual patch application and traditional merge tools.

API Documentation & Usage

Use the standard OpenAI-compatible API to apply patches automatically. Same interface, faster performance.

import { OpenAI } from 'openai';

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

// Apply a git diff to existing code
const response = await client.chat.completions.create({
  model: "morph-v2",
  messages: [
    {
      role: "user",
      content: `<code>${originalCode}</code>
<update>${patchContent}</update>`
    }
  ]
});

const updatedCode = response.choices[0].message.content;

// Stream results for real-time feedback
const stream = await client.chat.completions.create({
  model: "morph-v2",
  messages: [
    {
      role: "user", 
      content: `<code>${originalCode}</code>
<update>${diffContent}</update>`
    }
  ],
  stream: true
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content || '';
  process.stdout.write(content);
}

import openai

client = openai.OpenAI(
    api_key="your-api-key",
    base_url="https://api.morphllm.com/v1"
)

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

# Apply patch
updated_code = apply_patch(file_content, git_diff)

Best Practices

Get the most out of AI patch application with these practical tips.

Getting Started

Ready to automate your patch workflow? Get started in minutes.