CodingDocumented overviewLast checked Oct 2, 2026

Everdone: Pricing, Features & Best Use Cases

Usage-based AI services for code documentation, review, security, performance and test case generation.

Who should use Everdone

Everdone suits engineering and QA teams that want pay-per-use AI services for code documentation, review, security, performance and test cases, with the first 200 units free per service. Based on the vendor's documentation, not on a hands-on test.

Best for: Engineering teams onboarding developers

Also a good fit for

  • QA teams writing test suites

Consider another tool if charged per file or test case processed

Or if

  • Early-access discount may not be permanent
  • GitHub integration is the stated repo source

Everdone pricing and usage limits

Prices checked Oct 2, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.

Everdone pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
The official Everdone pricing page as we saw it. everdone.ai, captured Oct 2, 2026

Free access and trial conditions

First 200 units free per service, no credit card.

Paid plans: what changes as you upgrade

Free allowance web

Free source (opens in a new tab)

One-time

For: Evaluating on real code

Limits

  • No credit card needed
  • Per service, not shared

Includes

  • Any Everdone service for evaluation

Usage-based (early access) web

$0.05 source (opens in a new tab)

Monthly

Early-access price; regular $0.10

For: Teams paying only for work done

Limits

  • Listed 50% off $0.10
  • Re-reviews charged only for files reviewed again
1 more
  • No seats or contracts

Includes

  • Unlimited team members
  • Unlimited repositories

Usage caps, credits and extra costs

Pay per file or test case processed; wallet credits are purchased.

What is Everdone, and how does it work?

Everdone is a platform of separate AI services for engineering and QA teams: CodeDoc, CodeReview, CodeSecurity, CodePerformance and TestCase. They connect to GitHub repositories and also accept sources such as Figma, PDFs and docs. Pricing is usage-based with no seats or contracts; each service includes 200 free units and a listed early-access discount.

Everdone homepage — screenshot of the coding AI tool, Oct 2, 2026
Everdone's official site: how the product presents itself. everdone.ai, captured Oct 2, 2026

What you provide and what you get back

How Everdone works: what you provide, where it runs and what you get backYOU PROVIDEYour inputGitHub repositories, pull request…Figma, PDFs and documents (test c…CODINGEverdonefrom $0.05 (Usage-based (early ac…free tier availableaccount requiredchecked Oct 2, 2026YOU GET BACKThe resultGenerated documentationReview issues with suggested fixesSecurity and performance findingsTest casesinput → Everdone → output · from the vendor's own pages, no hands-on test unless stated
What you give Everdone and what comes back, from its documentation

You provide

  • GitHub repositories, pull requests and branches
  • Figma, PDFs and documents (test cases)

You get back

  • Generated documentation
  • Review issues with suggested fixes
  • Security and performance findings
  • Test cases

Where you can use it

Account
Required
Services
CodeDoc, CodeReview, CodeSecurity, CodePerformance, TestCase
Repo source
GitHub
Free units
200 per service
Seats
Unlimited

What people use Everdone for

Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Generating repo documentation

Who
Engineering teams
You provide
GitHub repository
Expected result
Auto-generated documentation
Plan needed
Usage-based
Limitation
Charged per file source (opens in a new tab)

Reviewing pull requests

Who
Reviewers
You provide
Pull requests and branches
Expected result
Issues with severity and suggested fixes
Plan needed
Usage-based
Limitation
Charged per file reviewed source (opens in a new tab)

Security issue tracking

Who
Security teams
You provide
PRs and branches
Expected result
Classified vulnerabilities with exploit context
Plan needed
Usage-based
Limitation
Charged per file reviewed source (opens in a new tab)

Key features and their practical limits

Everdone homepage — screenshot of the coding AI tool, Oct 2, 2026
Feature overview on the official site. everdone.ai, captured Oct 2, 2026

CodeDoc auto-updating documentation

Turns a GitHub repo into searchable documentation and keeps it updated. Removes manual doc writing.

Access: 200 files free, then per fileLimit: Counted per file source (opens in a new tab)

CodeReview with issue assignment and tracking

Reviews code for bugs, security and performance and tracks assigned issues. Combines review and tracking.

Access: 200 files free, then per fileLimit: Re-reviews of changed files are charged source (opens in a new tab)

CodeSecurity risk classification

Classifies risks as High, Medium or Low with exploit explanations. Helps prioritise fixes.

Access: 200 reviews free, then per fileLimit: Findings need human verification source (opens in a new tab)

CodePerformance analysis

Analyses PRs and branches for performance bottlenecks and hot paths. Surfaces scalability risks.

Access: 200 files free, then per fileLimit: Counted per file source (opens in a new tab)

Pros, cons and deal-breakers

Where Everdone is strong

Limitations to check before paying

How to use Everdone for generating documentation for a repository

Set up Everdone

  1. Open everdone.ai and choose Start for free.
  2. Connect GitHub securely.
  3. Select the repository to document.

Example: generating documentation for a repository

  1. Run CodeDoc on a repo.
  2. Review the generated documentation.
  3. Run CodeReview on an open pull request.
  4. Assign and track the reported issues.

Review and export the result

  1. Compare the generated docs with the code.
  2. Check the usage count against the free 200 units.

Everdone API

Everdone pricing page with plans and prices — screenshot of the coding AI tool, Oct 2, 2026
Plan comparison on the official pricing page. everdone.ai, captured Oct 2, 2026

API access and separate billing

Everdone has no public API in its official documentation. Not shown

Privacy, data use and commercial rights

Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.

How your inputs and outputs are handled

Collects account details and limited identifiers or access tokens for connected repositories.

Retained only as long as necessary; transactional and audit records may be kept for compliance.

Policies: everdone.ai/privacy

Everdone alternatives by need

"Better suited" is based on documented features and pricing, not on a head-to-head test.

GitHub Copilot: better suited to

Cursor: better suited to

Devin Desktop (formerly Windsurf): better suited to

Alternatives
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GitHub Copilot——Compare
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Devin Desktop (formerly Windsurf)——Compare

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    Everdone FAQ

    How much does Everdone cost per file?

    Everdone charges $0.05 per file or test case at the early-access price, listed as 50% off $0.10. source (opens in a new tab)

    How many free units does Everdone give?

    Each Everdone service includes the first 200 units free, with no credit card needed. source (opens in a new tab)

    Does Everdone charge per seat?

    No. Everdone has no seats or contracts and includes unlimited team members. source (opens in a new tab)

    Are re-reviews charged again on Everdone?

    Only for files that are reviewed again. source (opens in a new tab)

    Sources and review methodology

    Official sources and verification dates

    Not verified: Training use of code; Platforms; Supported languages.

    How we documented and maintain this page

    Every fact about Everdone above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run Everdone ourselves, so it has no editorial score. How we check and re-check pages.

    Article updated Oct 2, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error