Tejas's blog

Morph: Fast Apply

Website: docs.morphllm.com

Morph provides lightning-fast code merging capabilities, allowing developers to switch from full file rewrites to snippets + apply in just 5 minutes. It's designed for developers who need efficient code editing and merging workflows.

Why Morph is Useful

Traditional code editing approaches often involve full file rewrites or failure prone search/replace operations. Morph smooths this process by using abbreviated edit snippets that are intelligently merged with existing code.

Deterministic code merging has 100s of edges cases that you can never fully squash. A model is a perfect use case for this.

We can explit the fact that the output merged code is remarkeably similar to the input code. This is a property we can use to make our speculative decoding extremely fast.

Morph's Fast Apply service offers significant advantages over traditional approaches:

  1. Lightning Speed: Industry-leading 4500+ tokens per second with optimized SoTA LLM and speculative decoding.
  2. Low Cost: 10x cheaper than full file rewrites.
  3. Reliable: 98% accurate at pass 1 for apply
  4. OpenAI Compatible: Easy integration with existing workflows using familiar API patterns.
  5. Self-Hosting Options: Deploy Morph in your own infrastructure for security and control.

By providing fast, intelligent code merging, Morph creates a bridge between human-readable edit instructions and precise code modifications. This leads to more efficient development workflows and reduced errors.

Why Morph Will Power Dynamic AI Interfaces

Most dynamic UIs are stupid. When users all work the same way, why make the interface different for each person? It's complexity without benefit.

But some interfaces should be bespoke. Email clients. CRMs. Ninety percent of people I talk to hate theirs—even the trendy new ones. They're terrible because they're not personal. A salesperson making 200 calls a day for SaaS software needs different affordances than someone sending 5 careful emails to AC clients.

The data is already there. Cursor's timeline of user interactions reveals patterns that predict user behavior with surprising accuracy. I've seen certain domains shift their UI based on behavioral fingerprints, using timeline data to infer user characteristics in real-time.

The future I'm uncertain about is fast-changing UIs. Success will come down to how well users can estimate what changes are being made, and in essence, intuiting how models will act. If you can predict the interface will adapt to help you, adaptation feels magical. If you can't, it feels broken.

Its at least a little interesting that the central thing models need to do today is intuit humans and understand the users intent, and for the future of software to stick, we'll need to intuit them back.

This is where Morph becomes critical. Traditional UI frameworks can't keep up with real-time interface modifications. But Morph's fast apply makes dynamic code generation practical—turning behavioral insights into interface changes in milliseconds, not minutes.

Critics of Fast Apply like Cline tend to not factor things like latency and first pass accuracy into edits. For realtime software, this is critically central. For a background agent in the cloud, less so.

Most AI-powered interfaces today are static templates that pretend to be smart. Real dynamic interfaces will rewrite themselves based on how you actually work. Morph makes this possible at the speed users expect.

How It Works

Morph uses a simple three-step process:

  1. Generate Code Snippets: Configure your LLM to output abbreviated edit snippets instead of full file rewrites using special comments like // ... existing code ...
  2. Merge with Fast Apply: Pass the edit snippet and initial code to Morph's OpenAI-compatible API endpoint

Key Features

  • 4500+ tokens/second processing speed with optimized SoTA LLM
  • OpenAI-compatible API for easy integration
  • Speculative decoding for maximum performance
  • API base URL: https://api.morphllm.com/v1

Getting Started

To get started with Morph:

  1. Sign up for a Morph account and create an API key
  2. Try the playground to test the lightning-fast code merging
  3. Configure your LLM to output abbreviated edit snippets
  4. Integrate the OpenAI-compatible API into your workflow

For access to longer context models, self-hosting, or business inquiries, contact info@morphllm.com