One codebase. Three decisions an audit can support.

Developers: know what to fix next

Get findings with precise code locations, explanations and prioritized recommendations in the full audit report. Use them to guide your own fixes or give your AI coding agent clear instructions.

Check your changes with the follow-up verification included with the report.

Product managers: make technical quality visible

Get a shared view of code quality across six dimensions. Identify weak areas, discuss technical priorities with your team and follow quality across successive evaluations.

Investors: look beyond the demo

A convincing product can rest on a fragile codebase, however fast it was built. Understand the quality of the code behind it without reading it yourself.

Use an independent rating and the audit's findings to ask better questions about technical risk before committing capital.

Clear next steps for you or your AI coding agent

Use the full audit report's code locations, explanations and prioritized recommendations to guide fixes yourself or with an AI coding agent. Then check the changes with the follow-up verification.

  1. Build your product as you do today.
  2. Evaluate the code: a rating, six axis grades and finding counts.
  3. Fix with your developer or AI agent, from the report's recommendations.
  4. Verify the changes with the follow-up verification included with the report.

Quality goes beyond security

A security check answers only part of the question. KwalitAI assesses six dimensions to give you a broader view of the codebase.

Architecture
How the code is structured, and how easily changes can stay local.
Performance
Where the code creates unnecessary work, waiting or resource use.
Consistency
Whether conventions and patterns make the code easier to understand and modify.
Security
How the code handles access, secrets, dependencies and untrusted input.
Documentation
Whether another developer can understand, build and use the project.
Correctness
Whether the code does what it claims, including edge cases and error paths.

See what the six axes measure

From a finding to a clear next step

A real finding from the audit of the repository behind this site, published with the owner's consent.

Finding
The repository directory loads every entry without a limit.
Why it matters
As the catalogue grows, the page has more data to fetch and render.
Recommended action
Add pagination and limit the number of entries fetched per page.
Where
internal/web/store.go:94
Follow-up
Fixed in dcbbdb0, checked by the follow-up review

The recommendation names the problem, where it is and what to do: an instruction you can hand to a developer or an AI coding agent, then check. See the complete audit example.

85/100

Commit
9f959fe
Method
v1.1.0
Reviewed
  • architecture 9/10
  • performance 8/10 weakest axis
  • consistency 8/10 weakest axis
  • security 9/10
  • documentation 8/10 weakest axis
  • correctness 9/10

Open the repository page

Start with a rating. Get the detail when you need it.

Free public evaluation

A public view of your repository's code quality: an overall score, six axis grades and finding counts, with a badge for your README. The repository's owner also receives an extract of the audit report.

Get a free public evaluation

Full audit report, €490

Understand the findings with code locations, explanations and recommendations in priority order. The report is delivered privately, because it describes weaknesses, and includes one follow-up verification after your fixes.

See audit pricing

Evaluations are published by default. The owner of a repository can ask for its evaluation to be removed through the contact form.

A rating you can inspect

Each rating is tied to a specific commit and a published method. See how the score is calculated, what the six axes cover and how changes between evaluations are interpreted. Read the method.

Know where your code stands, and where to focus next.

Need a private code audit? Talk to us.