Overview
Refact.ai is designed to improve developer teams' productivity. It focuses on security and allows users to customize the AI coding assistant to their needs.
For enterprises seeking to boost developer efficiency, the Refact.ai Enterprise plan offers:
- Accuracy-driven AI Tools: Refact.ai brings AI closer to your data with a precision-focused toolset: AST (Abstract Syntax Tree) intelligently analyzes code structures across multiple languages, including Python, C++, JavaScript, TypeScript, Java, and Rust, significantly improving auto-completion accuracy. RAG (Retrieval-Augmented Generation) utilizes a vector-based database to deliver contextually accurate answers by identifying and retrieving similar code from within your projects.
- Fine-tuning: We've solved all the complexity for you, no data engineer required. Refact.ai's fine-tuned code completion model adapts specifically to your coding style, internal APIs, and tech stack. By learning from your unique data, it delivers more relevant and context-aware suggestions. After fine-tuning, Refact.ai's auto-completion can generate up to 45% of the code, significantly boosting productivity and consistency across your projects.
- Integrated in-IDE Chat: Powered by the Llama3/8b model, Refact.ai's Chat is deeply familiar with the entire codebase, empowering developers to efficiently fix bugs, generate documentation, conduct thorough code reviews, and more.
- Ultimate Security: Refact.ai can be deployed on AWS infrastructure or on-premise, ensuring that your data remains secure and compliant with industry standards, including SOC 2 (Service Organization Control Type 2). This setup offers complete control over your deployment environment, keeping your data within your infrastructure and under your control.
- User Statistics: Refact.ai provides detailed tracking of its own contributions to the development process, allowing you to measure productivity gains with precise metrics. This feature helps you assess the impact of Refact.ai on your team's efficiency, enabling data-driven decisions to optimize performance.
Choose Refact.ai to significantly boost developer productivity while maintaining full control over your data. To get started and obtain a license, email us at enterprise@refact.ai or complete the form . Our team is eager to help you unlock your full potential with Refact.ai.
Highlights
- Knows Your Code: Refact.ai leverages Retrieval-Augmented Generation (RAG) for auto-completion, combining advanced prompt engineering with database retrieval. This approach allows Refact.ai to deliver highly accurate, context-aware code suggestions by continuously learning from your internal codebase.
- Fine-Tuning: Refact.ai can be fine-tuned to adapt to your company's coding style, internal APIs, and tech stack. This approach further enhances auto-completion accuracy, that is how Refact.ai can write up to 45% of the code for your company.
- Ultimate Security: Deploy Refact.ai on-premise, directly on your servers, to ensure that your data remains fully secure and entirely under your control.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
According to our terms of use: https://refact.ai/terms-of-use/
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Hello everyone! It's been a while since we shared the news, so we are excited to bring you Refact 1.6.3!
Here's what's new:
Refact.ai Self-hosted:
- Llama3 8k Context: llama3 models now support 8k context.
- Credentials Management: We added information about tokens and keys.
- Deprecated Models: The models starcoder, wizardlm, and llama2 are deprecated and will be removed in the next release.
Refact.ai Enterprise:
- Refact Model 4k Context: refact model now supports 4k context.
Go try it out and build amazing things with Refact!
Additional details
Usage instructions
Getting Started: https://docs.refact.ai/guides/deployment/aws/getting-started/ Launch from EC2 console: https://docs.refact.ai/guides/deployment/aws/ec2/ Launch from Website: https://docs.refact.ai/guides/deployment/aws/marketplace/ Usage: https://docs.refact.ai/guides/deployment/aws/usage/
Resources
Vendor resources
Support
Vendor support
AWS marketplace subscribers are entitled to our Standard Support and our Community Support via Discord & GitHub. Discord channel: https://smallcloud.ai/discord VSCode GitHub: https://github.com/smallcloudai/refact-vscode/issues JetBrains GitHub: https://github.com/smallcloudai/refact-intellij/issues Support: support@refact.ai
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.
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