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Refact.ai
Refact.ai is an AI development agent platform that understands the context of your codebase and can create, refactor, debug, and even explain code with natural language commands.
- Launch Date
- 2023
- Monthly Visitors
- 134.5K
- Country of Origin
- united Kingdom
- Platform
- Web
- Language
- english
Keywords
- AI coding agent
- Autonomous developer AI
- Code automation platform
- IDE integration AI
- BYOK AI coding
- On-premises code agent
- Code refactoring AI
- Code review automation
- RAG-based code recommendations
- AI development productivity tools
- Coding assistant AI
- AI software development
- Code context aware AI
Platform Description
Refact.ai is an AI development assistant platform that understands the entire codebase used by developers and performs code writing, refactoring, debugging, explanations, and more when commands are entered in natural language. users don't have to analyze complex code by hand, they can simply issue commands to the AI in an IDE environment and receive instant code improvement suggestions and fixes. Refact.ai integrates with a wide range of development tools, including GitHub, Docker, databases, and more, so you can get help from AI instantly without disrupting your development flow.
Refact.ai uses Retrieval-Augmented Generation (RAG) technology to self-discover key information within your project and deliver results with much higher accuracy than simple generative models. for example, you can type "optimize this function" and the AI will analyze the relevant code, suggest efficient refactorings, and even automatically generate test code if needed. these features help developers reduce repetitive tasks and focus on strategic areas."
Refact.ai is also built on an open source foundation, allowing for custom extensions, and supports on-premises deployment and BYOK. this allows organizations and development teams to utilize high-performance AI capabilities while maintaining data security in an internal network environment. it's also safe to use in enterprise environments because no sensitive code is sent offsite, which is a huge advantage.
Core Features
-
context-based autocomplete
code autocomplete suggestions based on the context of the entire project
-
run autonomous AI agents
plan and execute continuous operations with a single command
-
Interactive chat in the IDE
support for code-driven questions and corrections inside the IDE
-
refactoring suggestions
automatic refactorings to improve existing code and clean up structure
-
explaining and commenting code
explain complex blocks of code and automatically add comments
-
generate test code
automatically generate unit test code based on requests
-
create documents and annotations
automate Function-Class Descriptions and Documentation
-
bug detection and fix suggestions
find errors and suggest fixable patches
Use Cases
- automatic code generation
- AI code reviews
- bug fixes
- code refactoring
- document automation
- generate test code
- Chatbot Q&A in the IDE
- project analytics
- CI/CD integration
- working with databases
- automate deployments
- customize your code style
- code-based search
- on-premises deployment
- sharing team knowledge
- context-aware code autocompletion
How to Use
installing integrations
linking projects
enter a command
view and apply results
Plans
| Plan | Price | Key Features |
|---|---|---|
| Free | $0 | • All Autonomous AI Agent Features • 2,000 coins for using AI Agent & Chat • Live in-IDE chat support with codebase context awareness • Major models available: Claude 4, GPT-4.1, 4o, Gemini 2.5 Pro, etc • Unlimited fast autocomplete • Provides a codebase-aware vector database • Self-hosted option available • Discord community support |
| Pro | $10/mo | • Free plan features included • Automatic renewal of 10,000 coins per month • Ability to purchase additional coins as needed • Enhanced thinking skills |
| Enterprise | Custom | • Pro plan features include • LLM fine-tuning capabilities - train AI models with your organization's codebase and data • Multi-GPU load sharing to optimize performance • Control access to detailed statistics • On-premises or cloud private server deployment • Full code privacy • Prioritized support |
FAQs
-
Refact.ai is an AI-powered coding assistant platform for developers that lets AI write, autocomplete, debug, and improve code in real-time within your IDE.
It is available for out-of-the-box integration in major IDEs like VS Code and JetBrains, and features a code-aware AI model that understands a developer's codebase. -
Refact.ai uses a combination of its own and external models to provide a wide range of features. its own model, the Refact 1.6B code LLM, is a modern model that supports intermediate code autocompletion and command-based code changes.
the chat feature also uses a GPT-like model, and users can opt out of using that model if they wish.
The self-hosted version also supports models such as StarCoder, Code Llama, and WizardCoder. -
yes, Refact.ai offers a free self-hosted version. users can use Refact features in their own server environment while managing their own data.
-
yes, you can. Refact.ai supports fine-tuning on your own server and in the Enterprise plan. this allows you to create AI models that are optimized for your company's internal code style or structure.
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Refact.ai natively provides code autocompletion, bug fixing, code refactoring, documentation generation, code review support, and more. The AI model learns the context of your code to make suggestions naturally, and is optimized for many languages. It combines its own model, Refact 1.6B, with external models to maintain high accuracy and speed.
-
Refact.ai supports a wide range of programming languages based on multiple code-specific large-scale language models (LLMs). our in-house developed model, Refact 1.6B, has been trained to perform best on the following languages
bash, C#, C++, D, Golang, Java, JavaScript, Julia, Lua, Perl, PHP, Python, R, Racket, Ruby, Rust, Scala, Swift, and TypeScript.
in addition, Refact.ai can provide useful code suggestions for most programming languages, even if it is not specifically trained in a particular language.
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