HR AI Index
Index Vendors › Augment Code · September 2026 Edition
Augment · 1 category · Named, not ranked

Augment Code

8Judge labels
1First choices
0Negative labels
4 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Augment Code was named 2 times in Technical hiring assessm, where HackerRank led with 28%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In technical hiring assessm · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Augment Code for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Technical hiring assessmentsTalent acquisition0%20 of 520%2under 10 labels · led by HackerRank at 28%

Movement

This is the first edition on this tier, so no move can be computed for Augment Code yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Augment Code across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.501001

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct6 labels1
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“if your focus is on practical coding skills rather than algorithms, Augment Code might be worth considering” MiniMax M2.5 · Technical hiring assessm · direct prompt · alternative
“Augment Code is ideal if AI-assisted development context matters to your assessments” Mistral Small · Technical hiring assessm · direct prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Augment Code, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Augment Code was named but was not.
ProductSame answerTook the first choice insteadHead to head
HackerRank6 of 84Not in the top three
Codility6 of 81Not in the top three
CodeSignal3 of 81Not in the top three
CoderPad2 of 81Not in the top three
CodeSubmit1 of 80Not in the top three
Coderbyte1 of 80Not in the top three
Criteria Corp1 of 80Not in the top three
HackerEarth1 of 80Not in the top three
Index.dev1 of 80Not in the top three
Mercer | Mettl1 of 80Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Augment Code. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 8 of the 8 answers that named Augment Code and are not a share of its labels.

Domains cited

augmentcode.comYour site8
hackerrank.com5
codesubmit.io4
index.dev4
codility.com3
selectsoftwarereviews.com3
coderpad.io2
codesignal.com2
digidai.github.io2
testgorilla.com2

Twenty-seven of the thirty-five domain citations in answers naming Augment Code came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Augment Code's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Augment Code, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at augmentcode.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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