Overview
Morph Fast Apply is a purpose built tool for engineering teams that want to move beyond fragile search and replace or slow error prone full rewrites. Unlike generic approaches Morph merges AI generated code edits directly into your existing files with semantic awareness understanding structure variables and context rather than relying on brittle string matching.
Highlights
- Blazing fast, ~98% accurate code merges at 4,500+ tokens per second.
- Semantic integration that preserves formatting, comments, and imports.
- Enterprise-ready: on-prem deployment, zero data retention, SOC2-ready.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.xlarge Inference (Batch) Recommended | Model inference on the ml.g5.xlarge instance type, batch mode | $9.60 |
ml.p5en.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.p5en.48xlarge instance type, real-time mode | $9.60 |
ml.g4dn.xlarge Inference (Batch) | Model inference on the ml.g4dn.xlarge instance type, batch mode | $9.60 |
ml.g4dn.2xlarge Inference (Batch) | Model inference on the ml.g4dn.2xlarge instance type, batch mode | $9.60 |
ml.g4dn.4xlarge Inference (Batch) | Model inference on the ml.g4dn.4xlarge instance type, batch mode | $9.60 |
ml.g4dn.8xlarge Inference (Batch) | Model inference on the ml.g4dn.8xlarge instance type, batch mode | $9.60 |
ml.g4dn.12xlarge Inference (Batch) | Model inference on the ml.g4dn.12xlarge instance type, batch mode | $9.60 |
ml.g4dn.16xlarge Inference (Batch) | Model inference on the ml.g4dn.16xlarge instance type, batch mode | $9.60 |
ml.g5.2xlarge Inference (Batch) | Model inference on the ml.g5.2xlarge instance type, batch mode | $9.60 |
ml.g5.4xlarge Inference (Batch) | Model inference on the ml.g5.4xlarge instance type, batch mode | $9.60 |
Vendor refund policy
30 days
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
First version of morph fast apply.
Additional details
Inputs
- Summary
- content: `<instruction>${instructions}</instruction>\n<code>${initialCode}</code>\n<update>${codeEdit}</update>`,
- Input MIME type
- application/json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
original code | original code | - | No |
update snippet | update snippet | - | No |
Resources
Vendor resources
Support
Vendor support
Email: support@morphllm.comÂ
Support URL: https://docs.morphllm.comÂ
Support coverage: Customers receive 24/7 email support and access to extensive product documentation. Enterprise clients can opt into dedicated support SLAs, including live troubleshooting and deployment assistance.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.