Refact.ai
Open-source autonomous AI coding agent for VS Code and JetBrains that plans, executes, and deploys tasks with step-by-step reasoning.
Refact.ai earns a look when data control and model freedom outrank zero-setup convenience. The vendor's 93.3% Aider Polyglot score with Thinking Mode (April 2026) is a credible accuracy signal, the agent's repository-plus-database-plus-CI connectors go past autocomplete, and BYOK across Claude, GPT, Gemini, Grok, and Deepseek keeps you off any single vendor's roadmap. The bill comes due in operations: with Refact Cloud shutting down, you self-host or supply your own API keys. Teams already comfortable running infrastructure get a lot here; teams who want a managed IDE assistant should compare GitHub Copilot or Cursor first.
Verified 1d ago · liveness 84/100 · cite: rightaichoice.com/tools/refact-ai
- Privacy-conscious teams that must keep code on their own infrastructure
- Developers who want model choice via BYOK across Claude, GPT, Gemini, Grok, and Deepseek
- Teams with large codebases needing repo, database, and CI/CD context
- Enterprises wanting a self-hosted agent with an internal knowledge base
- Developers who want a managed, zero-setup cloud assistant
- Teams that prefer a fully-managed proprietary tool over self-hosting or BYOK
- Users who only need simple autocompletions
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Skip Refact.ai if you want a managed IDE assistant you can subscribe to and never think about servers — with Refact Cloud shutting down, you will be self-hosting or managing your own model API keys.
Under BYOK you pay OpenAI, Anthropic, Google, Grok, or Deepseek directly for every token the agent burns, and autonomous multi-step tasks consume far more than autocomplete.
The free entry point in VS Code and JetBrains makes it cheap to trial against GitHub Copilot's individual plan, and BYOK lets you control model spend directly instead of paying a bundled markup. The real cost comparison is not the subscription but your infrastructure: self-hosting and on-premise deployment put server and ops spend on your side, so compare against managed tools like Cursor only if you value the control enough to absorb that.
In short
Refact.ai — Open-source autonomous AI coding agent for VS Code and JetBrains that plans, executes, and deploys tasks with step-by-step reasoning. Best for Privacy-conscious teams that must keep code on their own infrastructure, Developers who want model choice via BYOK across Claude, GPT, Gemini, Grok, and Deepseek, Teams with large codebases needing repo, database, and CI/CD context. Free to start; paid plans from $20/mo.
No head-to-head comparison for Refact.ai yet — the alternatives below are the closest matches we list.
What's new in Refact.ai
Checked yesterdayAcross the latest 2 updates: 2 news mentions.
Refact Cloud Shutdown Announcement
Refact Cloud will be shut down, and users are advised to migrate to self-hosted or bring-your-own-key setups instead.
Refact.ai Agent Tops Aider Polyglot Benchmark with 93.3%
Refact.ai Agent scored 93.3% on the Aider Polyglot Benchmark using Thinking Mode, which the vendor reports as the highest ranking.
What people actually say about Refact.ai — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
13 mentions across 1 source (Hacker News) · researched Jul 31, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Topped Aider Polyglot with 93.3%, beating commercial rivals by 20 points.
- +Fully autonomous agent: zero user inputs during benchmark runs.
- +Open-source and supports self-hosted models for full data control.
- +Iterative approach that writes, validates, and corrects its own code.
- +Integrates with VS Code and JetBrains IDEs.
- −Refact Cloud shutdown forces self-hosting or BYOK setup.
- −Most community buzz is from team announcements, not independent users.
- −No clear free-tier pricing or trial path since cloud shutdown.
- −Setup and configuration require more effort than proprietary rivals.
- −Limited independent support and community troubleshooting available.
- • Cost of LLM API keys if using BYOK (e.g., Claude 4, GPT-4o) — these are separate and can be substantial
- • Infrastructure costs for self-hosting (e.g., cloud VMs, storage, bandwidth)
- • No clear pricing for self-hosted version; enterprise pricing is negotiable but not listed
Viability Score
How well maintained and how widely used is Refact.ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Autonomous AI agent that plans, executes, and deploys coding tasks end-to-end
- Thinking Mode exposes step-by-step agent reasoning with preview and control
- In-IDE chat for natural-language code generation, editing, and debugging
- Real-time autocompletions powered by Qwen2.5-Coder with retrieval-augmented generation (RAG)
- Repository-aware context across workspace, codebase, databases, files, documentation, and web
- Connectors for GitHub, PostgreSQL, MySQL, Docker, and CI/CD pipelines
- Bring your own API key for Claude, GPT, Gemini, Grok, and Deepseek
- Direct API integrations with OpenAI, Anthropic, Google AI, Grok, and Deepseek
- Use Claude 4, GPT-4o, or GPT-4o mini with the agent
- On-premise and self-hosted deployment for full data control
- Enterprise knowledge base that organizes team experience
- Agent saves use cases and refines memory to adapt to your workflow
- AI code review that analyzes code and suggests fixes
- Image to code: convert screenshots and images into HTML/CSS pages
- Support for 25+ programming languages including Python, JavaScript, Rust, and TypeScript
About Refact.ai
Refact.ai is an open-source, self-hosted AI coding agent that runs inside VS Code or JetBrains IDEs. You describe a task in plain language and the agent plans it, searches your repository, writes the change, and deploys the result, exposing its reasoning step by step through Thinking Mode so you can preview and steer the work. The vendor reports a 93.3% score on the Aider Polyglot Benchmark using Thinking Mode (April 2026). Around the agent sit three narrower tools: real-time autocompletions powered by Qwen2.5-Coder with retrieval-augmented generation, an in-IDE chat for asking, editing, and debugging code, and connectors that reach GitHub, PostgreSQL, MySQL, Docker, and CI/CD pipelines. It covers 25+ languages including Python, JavaScript, Rust, TypeScript, Go, Java, PHP, C++, Ruby, and SQL, and the vendor documents AI code review plus image-to-code conversion that turns screenshots into HTML/CSS pages. Model access is deliberately open: bring your own API key for Claude, GPT, Gemini, Grok, or Deepseek through direct API integrations, or run Claude 4, GPT-4o, or GPT-4o mini with the agent. The 2026 shift is deployment — Refact Cloud is shutting down (announced 2026-04-30), so the product now runs self-hosted or BYOK, trading plug-and-play convenience for data ownership and model freedom. That puts it against GitHub Copilot and Cursor for developers and teams willing to run their own infrastructure.
Behind the Verdict
Refact.ai's strongest card is the agent loop rather than the autocomplete. Thinking Mode makes the agent publish its reasoning step by step, and the vendor pairs that with repository search, GitHub/database/CI connectors, and a preview-and-control step before changes land — so the product is closer to delegating a task to a junior developer than to accepting a line suggestion. The packaged autocomplete is narrower and explicitly powered by Qwen2.5-Coder with retrieval-augmented generation, which the vendor frames as project-aware rather than generic. The self-reported 93.3% Aider Polyglot result with Thinking Mode (April 2026) is the number to weigh, and it is a vendor claim — treat it as a directional signal, not an audited benchmark. Breadth is real on paper: 25+ languages, AI code review, and image-to-code for turning screenshots into HTML/CSS pages. Where it gets harder is operations. Refact Cloud is shutting down, per the 2026-04-30 announcement, so you migrate to self-hosted or bring-your-own-key. Either way you own the infrastructure and you pay the model providers directly for the keys you supply. On-premise deployment is the pitch for regulated teams that cannot let code leave the building, and the enterprise knowledge base that organizes team experience is the differentiator there. Fit: teams with large codebases, privacy constraints, or a strong opinion about which model runs their code. Poor fit: solo developers who want a managed subscription with nothing to operate, and anyone who only needs completions — the agent and connectors are more than that job requires. Compared with GitHub Copilot and Cursor, Refact trades polish and managed convenience for control; compared with a bare API key in a chat window, it trades simplicity for an actual agent harness.
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Real-world workflow fit
Concrete scenarios for the personas Refact.ai actually fits — and what changes day-one when you adopt it.
You point the agent at a GitHub repo and ask it to build a GUI for a worker client, watching Thinking Mode plan the steps before it writes files.
Outcome: A working interface in a single session instead of days of scaffolding, with the reasoning visible so you can correct course early.
You connect the agent to PostgreSQL and your repository, describe a plugin bug, and let it search the codebase and propose a fix without upgrading the plugin.
Outcome: Targeted fixes grounded in the real schema and source, with the agent's reasoning reviewable before you commit.
You deploy Refact on-premise, wire in the enterprise knowledge base of team conventions, and let engineers run the agent without code leaving your network.
Outcome: Agent-assisted development that satisfies data-residency rules, with team experience captured in the knowledge base rather than in individual heads.
Use Cases
- Refactor a legacy WordPress plugin by connecting the agent to your codebase, MySQL database, and admin panel.
- Build a fully functional GUI for a worker client from a GitHub repo link.
- Generate REST endpoints and database models through chat and agent execution.
- Automate code reviews and debugging across your team's pull requests.
- Deploy a self-hosted AI coding assistant where code cannot leave the premises.
- Prototype a full web app from scratch using prompts, preview, and testing.
- Automate testing and fix bugs in CI/CD pipelines.
- Turn screenshots into HTML/CSS pages with image-to-code.
Models Under the Hood
as of 2026-10-16
Limitations
- Refact Cloud is shutting down (announced 2026-04-30), so you migrate to self-hosted or bring-your-own-key, and infrastructure responsibility shifts to you.
- On-premise deployment means you run and manage the servers yourself.
- Under BYOK you supply and pay for your own model API keys on top of the product.
- The headline 93.3% Aider Polyglot figure is vendor-reported, so treat it as directional rather than independently audited.
- Features beyond the agent, chat, and autocomplete — code review and image-to-code among them — are documented as separate tools rather than proven at the same depth as the agent loop.
as of 2026-10-21
Verification history
We have re-verified Refact.ai 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Refact.ai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A solo developer who wants to try the agent and autocomplete inside VS Code or JetBrains before committing to self-hosting.
What this tier adds
Starting tier: free IDE use with the autonomous agent, in-IDE chat, Qwen2.5-Coder autocompletions, and bring-your-own-key model access.
Pro
$20/mo
Ideal for
An individual developer or small team running the agent daily against a real repository, database, and CI pipeline.
What this tier adds
Adds Thinking Mode reasoning, connectors for GitHub, PostgreSQL, MySQL, Docker and CI/CD, Claude 4 / GPT-4o / GPT-4o mini with the agent, plus AI code review and image-to-code.
Enterprise
Custom
Ideal for
A regulated organization or large engineering team that needs code to stay on its own infrastructure and wants team knowledge captured.
What this tier adds
Adds on-premise deployment, the enterprise knowledge base that organizes team experience, and a choice of on-premise, SaaS, or AWS deployment.
Where the pricing makes sense
The company stage and team size where Refact.ai's pricing actually pencils out — and where peers do it cheaper.
The free entry point in VS Code and JetBrains makes it cheap to trial against GitHub Copilot's individual plan, and BYOK lets you control model spend directly instead of paying a bundled markup. The real cost comparison is not the subscription but your infrastructure: self-hosting and on-premise deployment put server and ops spend on your side, so compare against managed tools like Cursor only if you value the control enough to absorb that.
Setup time & first value
How long it actually takes to get something useful out of Refact.ai — broken out by persona, not the marketing-page minute.
Solo developers: installing the IDE extension and adding an API key is a same-day, minutes-to-first-task job. Teams: self-hosting takes longer — plan on provisioning infrastructure and configuring connectors before the agent is useful across a repo. On-premise enterprise rollout with the knowledge base is a project, not an afternoon.
Switching to or from Refact.ai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Refact Cloud: migrate to self-hosted deployment or supply your own model API key, per the 2026-04-30 shutdown notice.
- →From GitHub Copilot: install the Refact extension in VS Code or JetBrains and add a BYOK key for Claude, GPT, Gemini, Grok, or Deepseek.
- ↗To GitHub Copilot: remove the Refact extension and re-enable Copilot in your IDE if you need a managed assistant instead of self-hosting.
- ↗To Cursor: move to Cursor's editor for a managed experience if maintaining your own deployment is not worth the control.
Integrations
Resources & Guides
Tutorials & Learning
Refact.ai: 完全無料のAIソフトウェアエンジニアがすごい！カーソルとGithub Copilotはもう古い！
WorldofAI
How to Build AI Development Agent? — Tech Behind Refact.ai Agent for Programming
Refact ai
Boosted Productivity: Fine-Tuning Demo with Refact.ai & HTMX - A Quick and Easy Tutorial
Refact ai
YouTube returned 6 videos for “Refact.ai”, and we withheld 3: 3 could not be judged, because “Refact.ai” is a single word that other videos use for other things. Showing the 3 we can prove are about Refact.ai.
Official links
Tools that pair well with Refact.ai
Common stack mates teams adopt alongside Refact.ai, with the specific reason each pairing earns its keep.
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