Launched in 2023
Pricing
Free trial
Free version

Refact.ai is an AI coding assistant designed to accelerate software development through context-aware code completion, an integrated chat interface, and automated code review capabilities. It supports a wide range of programming languages and integrates with popular IDEs such as VS Code and JetBrains. Refact.ai can be deployed in the cloud or self-hosted on private infrastructure, giving organizations control over their data and model usage. The platform allows teams to connect their own large language models or use Refact's hosted models. It includes an agent mode that can autonomously perform multi-step coding tasks, browse documentation, and interact with the codebase. An admin panel provides usage statistics, team management, and fine-tuning capabilities. Refact.ai targets individual developers, startups, and enterprises that want to integrate AI assistance into their development workflows while maintaining flexibility over deployment and model selection.

Do you work for Refact.ai?Claim this product page

Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • Self-hosted
  • Browser extension
  • API

Aggregated Score

  Submit a review
No reviews yet

Pricing

Pricing details:
Free trial
Free version
View more pricing information

Key features

AI code completionAI chat assistantAutomated code reviewAgentic coding modeSelf-hosted deploymentCustom LLM integrationVS Code pluginJetBrains pluginAdmin panel with usage statisticsFine-tuning on private codebaseContext-aware suggestionsMulti-language support

Use cases

  • Accelerate code completion in the IDE
  • Automate code review and quality checks
  • Run an AI coding agent for multi-step tasks
  • Self-host AI coding assistance on private infrastructure
  • Integrate custom or open-source LLMs into the development workflow
  • Monitor and manage team AI usage

Best for

  • Individual developers who need AI-assisted code completion and chat inside their existing IDE
  • Engineering teams who need to self-host an AI coding assistant to comply with data-privacy policies
  • DevOps and platform engineers who need to integrate custom LLMs into their development toolchain
  • CTOs and engineering managers who need visibility into team-wide AI tool adoption and usage

Integrations

Developer

VS Code, JetBrains, GitHub, GitLab

AI models included

GPT-4, Claude, Llama, Mistral, Gemini