HR AI Index

Index › Products › 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 vv2026-09.3, 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.

Small businessnot named

No model named it for this buyer.

Mid-market20 of 52

under the label threshold

Enterprise7 of 38

under the label threshold

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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Technical hiring assessments	Talent acquisition	0%	20 of 52	0%	2	under 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 and per category, 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.

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Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	1	1
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	1	1

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.

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ProductSame answerTook the first choice insteadHead to head

HackerRank6 of 84Not among the top eight

Codility6 of 81Not among the top eight

CodeSignal3 of 81Not among the top eight

CoderPad2 of 81Not among the top eight

CodeSubmit1 of 80Not among the top eight

Coderbyte1 of 80Not among the top eight

Criteria Corp1 of 80Not among the top eight

HackerEarth1 of 80Not among the top eight

Index.dev1 of 80Not among the top eight

Mercer | Mettl1 of 80Not among the top eight

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

augmentcode.com/tools/best-coding-assessment-tools-enterprise8

hackerrank.com/writing/best-coding-assessment-tools4

index.dev/blog/best-developer-assessment-tools4

codility.com/how-to-choose-technical-assessment-platform3

selectsoftwarereviews.com/buyer-guide/online-coding-interview-tools3

codesignal.com/blog/5-coding-assessment-platforms-for-your-technical-hiring2

codesubmit.io/blog/coding-assessment-tools2

codesubmit.io/blog/coding-assessment-tools-20242

Pages are listed as the models cited them.

Follow Augment Code

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for Augment Code by email, built from the raw record of the edition. It shows:

where Augment Code is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Augment Code, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.

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.