Refact

Claim Tool

Last updated: September 1, 2025

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What is Refact?

Refact.ai is an autonomous, secure AI coding assistant that lives inside JetBrains and VS Code, combining real-time code autocompletion, in-IDE chat, and an AI Agent that plans and executes tasks with project-aware Retrieval-Augmented Generation. Powered by proprietary completion models, Qwen2.5-Coder, and options like GPT-3.5/4, Refact.ai integrates with GitHub, Docker, and PostgreSQL, supports fine-tuning per team, and offers robust enterprise controls including self-hosting, on‑prem deployment, and strict privacy with file-level access controls.

Category

Developer Tools

Refact's Top Features

Autonomous AI Agent with up to 30 actions per task

Accurate line-, function-, and class-level autocompletions

Retrieval-Augmented Generation using project context

Real-time codebase syncing and awareness

AI chat with Quick, Explore, and Agent modes

Autonomous patching with preview and approval workflows

Shell command execution from the IDE

Large context windows (8k–32k tokens by plan)

Multi-model support (Qwen2.5-Coder, GPT-3.5/4, Code Llama)

Team- and framework-specific fine-tuning

Privacy-first design; no server-side dataset collection

File- and project-level access controls

Self-hosting via Docker and full on-prem deployments

Integrations with GitHub, Docker, and PostgreSQL

Extensions for VS Code and JetBrains IDEs

Free personal use plus a two-week enterprise trial

Frequently asked questions about Refact

Refact's pricing

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    Use Cases

    Backend developer

    Refactor a legacy service with autonomous patches, run agent self‑tests, and safely apply approved changes.

    Frontend developer

    Generate React components and unit tests with context‑aware autocompletion and RAG‑powered snippets.

    DevOps engineer

    Automate environment setup by letting the agent execute shell commands and update Docker/CI configs.

    Data engineer

    Author SQL migrations, optimize queries, and integrate PostgreSQL code with project‑aware suggestions.

    QA engineer

    Create and run test suites as the agent plans steps, executes tests, and iterates on failures.

    Team lead / Eng manager

    Enforce coding standards via team‑specific fine‑tunes and review autonomous patch proposals.

    Enterprise IT / Security

    Deploy self‑hosted or on‑prem with file/project access controls and no server‑side dataset storage.

    Open‑source maintainer

    Triage issues, generate patches, and keep contributors aligned through AI‑assisted reviews.

    Full‑stack developer

    Prototype features faster with accurate multi‑language autocompletion and in‑IDE chat assistance.

    CTO / VP Engineering

    Run a two‑week enterprise trial to gauge productivity gains while meeting privacy and compliance needs.

    Explore Top AI Use Cases