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Everdone

Clarity for every codebase. Confidence for every team.

Pricing
Freemium
Free, Pay-as-you-go

About Everdone

Everdone is a platform of AI-powered services for software engineering and QA teams. It covers documentation, code review, security review, performance review, and test case generation, aimed at engineering teams, new developers, and distributed or fast-growing organisations. Everdone was built by the team behind Cointab, a peer-to-peer payments app and a reconciliation platform.

A team connects a GitHub repository and selects repos, branches, or files for CodeDoc, CodeReview, CodeSecurity, or CodePerformance, or uploads requirements, screenshots, or a feature description for TestCase. AI then generates documentation, flags code, security, or performance issues, or produces structured test cases, which are tracked, assigned, fixed, and re-reviewed to verify the result before the work is considered done.

CodeDoc keeps documentation updated automatically as code changes and supports team-wide sharing with global search. CodeReview classifies issues by severity, suggests fixes with code examples, and keeps a full issue history and audit trail, and CodeSecurity and CodePerformance apply the same tracking and re-verification to vulnerabilities and bottlenecks. TestCase generates scenario-based test cases covering functional, data, security, and error cases, with Excel export and QA workflow tracking.

Each Everdone service gives the first 200 units free, after which early access pricing charges $0.05 per unit, discounted 50% from $0.10. There are no seats, contracts, or per-user fees, and every plan includes unlimited team members and secure GitHub integration. Everdone currently integrates with GitHub repositories rather than other source control systems.

Use cases

  • Helping new developers understand a codebase quickly
  • Turning scattered code review comments into a tracked workflow
  • Converting requirements into structured test cases with full coverage
  • Catching performance bottlenecks before production
  • Giving AI coding agents like Cursor and Copilot better context

Key features

  • CodeDoc turns a GitHub repo into clean, searchable documentation
  • CodeReview helps teams find, track and fix code issues collaboratively
  • TestCase generates complete, execution-ready test cases from requirements
  • CodeSecurity detects, remediates and verifies real security risks
  • CodePerformance identifies bottlenecks and verifies performance improvements
  • Documentation stays updated automatically as code changes
  • Re-review verifies fixes before closing an issue
  • No seats, setup or long-term contracts required
  • Secure GitHub integration
  • Excel export of generated test suites

Pros and cons

Pros

No seats, contracts or per-user fees; pay only for completed AI work
First 200 units free per service, no credit card required
Early access pricing is 50% off per-unit cost

Cons

Integrates with GitHub repositories only

Pricing

Free
Free
  • First 200 units free per service
  • Unlimited team members
  • No credit card required
Pay-as-you-go
$0.05
  • Early access pricing: $0.10 to $0.05 per unit (50% off)
  • Pay only when AI does work
  • Unlimited team members
  • No seats, no contracts

Reviews

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Frequently asked questions

Do I pay per user?
No, every service is usage-based and the whole team is included.
How do the free 200 files work?
Each service can be evaluated free on real parts of a codebase, with no credit card needed, before any charges apply.
Do I need a contract?
No, there are no seats, no contracts, and no surprise charges.
Do you support private repositories?
Yes, CodeDoc supports both private and public documentation.

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