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Developer Tools · head to head

Earthly vs Refact

Earthly logo

Earthly

Developer Tools

Engineering guardrails for the AI era

From
Free
Rated
-
Full reviewWebsite
Refact logo

Refact

Developer Tools

Autonomous AI coding agent for development tasks

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Earthly pricing model not published; requires sales contact; Refact requires configuration for optimal performance
  • They diverge on capability: Earthly covers Policy as code, Refact covers Autonomous agent workflows.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Earthly and Refact actually diverge.

Attributes where Earthly and Refact differ
AttributeEarthlyRefact
Pricing modelNo pricing published on websiteFreemium with paid tiers
PlatformsWeb, CLIVS Code, Web
Founded20202023

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Developer Tools).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Earthly

  • Policy as code
  • Multi-stage enforcement
  • AI agent governance
  • Repository-wide policies
  • Incident response automation
  • Compliance management
  • Earthfiles build tool
  • Satellites

Only in Refact

  • Autonomous agent workflows
  • IDE chat
  • Real-time code completions
  • GitHub integration
  • Database integration
  • On-premise deployment
  • Multi-LLM support
  • 25+ language support

What people use each for

The jobs each tool is most often brought in to do.

Earthly

  • Enforcing engineering standards across AI and human developersnot Refact
  • Automating incident response procedures across all repositoriesnot Refact
  • Embedding compliance requirements into development workflowsnot Refact
  • Standardizing build processes with Earthfilesnot Refact

Refact

  • Autonomous code generation for development tasksnot Earthly
  • End-to-end bug fixes and refactoringnot Earthly
  • Multi-language software development accelerationnot Earthly
  • Enterprise development with data privacy requirementsnot Earthly

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Earthly

  • Pricing model not published; requires sales contact
  • Earthly Lunar is a recent launch (2025) with limited track record
  • Primarily GitHub-focused; limited integration with other platforms
  • No public documentation on pricing or feature tiers

Refact

  • Requires configuration for optimal performance
  • On-premise deployment adds operational complexity
  • Free tier limited by daily agent request quota
  • Coin system adds complexity to cost calculation

Pricing, plan by plan

Earthly

Free

No published plan breakdown. See the Earthly review.

Refact

Free
  • FreeFree
    • Limited daily agent usage
    • Unlimited completions
    • 2,000 coins for agent and chat
  • Pro$10/month
    • 40 daily agent requests
    • 64k context window
    • 10,000 coins monthly
  • Enterprise$undefined/custom
    • On-premise deployment
    • Custom coin allocation
    • Fine-tuning support

Which should you pick?

Choose Earthly if

  • You need policy as code.
  • You want to start without paying.
  • You work on Web, CLI.
  • You also want multi-stage enforcement.
Earthly review

Choose Refact if

  • You need autonomous agent workflows.
  • You want to start without paying.
  • You work on VS Code, Web.
  • You also want ide chat.
Refact review

Questions people ask

Is Earthly or Refact better?
Neither clearly leads. Earthly starts at Free and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Earthly or Refact?
Earthly starts at Free and Refact at Free.
Does Earthly or Refact run on more platforms?
Earthly runs on Web, CLI. Refact runs on VS Code, Web.
Can I use Earthly for free?
Both have a free tier, so you can try either at no cost before committing.
What is Earthly best used for?
Earthly is most often used for enforcing engineering standards across ai and human developers, automating incident response procedures across all repositories, embedding compliance requirements into development workflows, standardizing build processes with earthfiles. Of those, enforcing engineering standards across ai and human developers and automating incident response procedures across all repositories are not what Refact is typically brought in for.
What can Earthly do that Refact cannot?
Earthly covers Policy as code, Multi-stage enforcement, AI agent governance, Repository-wide policies. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.

Answered from the vendors’ own pages

Earthly: What is the difference between Earthfiles and Earthly Lunar?

Earthfiles is an open-source build tool that reached 12,000 GitHub stars and is used by companies like NVIDIA, Intel, and Databricks. Earthly Lunar is a separate governance platform launched in 2025 for enforcing standards across development workflows.

Source
Refact: How many programming languages does Refact support?

Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.

Source
Earthly: How does Earthly Lunar enforce standards?

Lunar converts engineering standards, compliance requirements, and processes documented in AGENTS.md files, wikis, and incident postmortems into enforceable guardrails that apply consistently across repositories and development stages.

Source
Refact: Can I deploy Refact on-premises?

Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.

Source
Earthly: What is the pricing for Earthly Lunar?

Pricing is not published on the website. Interested customers should contact Earthly's sales team for current pricing and feature tiers.

Source
Refact: What LLMs does Refact support?

Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.

Source
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