Index › HR › Products › CodeAid · November 2026 Edition
Technical hiring assessments · Named, not ranked

CodeAid

codeaid.io ↗

–Too few to rank
1/14Models named it
0First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inTechnical hiring assessments #27 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. CodeAid has 1.

Why models recommend it

“Best Value for Engineering Workflows: CodeAid ... offers excellent value”Qwen 3.7 Flash · Budget-constrained question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as CodeAid, over the 1 answer that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on CodeAid's own site, not checked by Gane.

For
companies hiring machine learning engineers, data scientists, and AI developers
Price stated
$129/mo
Starting price
$129/mo
Free plan or trial
Start a Free Trial
Integrations
3
Visit codeaid.io ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named CodeAid came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 1 of the 1 answers that named CodeAid and are not a share of its labels.

Domains cited

adaface.com1
codeaid.ioIts own site1
coderbyte.com1
codility.com1
hackerrank.com1
itechguides.com1
needaitool.com1
softwr.com1
sourceforge.net1
support.hackerrank.com1

Nine of the ten domain citations in answers naming CodeAid came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on CodeAid across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on codeaid.io
36
subdomains included
Content
25
counted in the table below
Documentation
0
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Report or ebook11undated
Comparison8undated
Blog6undated
How it is countedHide how it is counted

Every page codeaid.io exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.