IT AI Index

Index › Vendors › Devin · September 2026 Edition

1 category · Named, not ranked

Devin

6Judge labels

0First choices

3Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Devin was named 4 times in AI coding, where GitHub Copilot led with 67%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business30 of 45

under the label threshold

Mid-market32 of 46

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ai coding · 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 Devin 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
AI coding assistants	Developer platform	0%	32 of 46	50%	4	under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for Devin 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 Devin across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	1	2
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	0	0	0

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative3 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative6 labels in all, every segment counted; 0 of the 0 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 you want the ultimate autonomous agent to work in the background on complex tasks: Try Devin Desktop.” Gemini 3.5 Flash · AI coding · comparative prompt · alternative

“Claude Code or Devin for heavy agentic workloads” DeepSeek V4 Flash · AI coding · comparative 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.

“These tools can execute shell commands, install packages, edit files... the agent inherits those permissions wholesale” GLM 4.7 FlashX · AI coding · negative prompt · soft negative

“(such as Claude Code, Devin, Cursor, and Windsurf) ... they introduce severe new attack surfaces” Gemini 3.5 Flash · AI coding · negative prompt · soft negative

Named alongside

The products named in the same answers as Devin, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Devin was named but was not.

ProductSame answerTook the first choice insteadHead to head

Cursor6 of 63Not in the top three

Claude Code6 of 61Not in the top three

GitHub Copilot5 of 60Not in the top three

Windsurf4 of 61Not in the top three

Aider2 of 60Not in the top three

Amazon Q Developer2 of 60Not in the top three

ChatGPT2 of 60Not in the top three

Cline2 of 60Not in the top three

Continue2 of 60Not in the top three

Tabnine2 of 60Not 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 Devin. 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 3 of the 6 answers that named Devin and are not a share of its labels.

Domains cited

axify.io3

cheatsheetseries.owasp.org2

checkmarx.com2

docker.com2

labs.cloudsecurityalliance.org2

memeburn.com2

witness.ai2

aitoolscope.net1

artificialanalysis.ai1

arxiv.org1

Eighteen of the eighteen domain citations in answers naming Devin came from somebody else's page.

Pages cited

axify.io/blog/the-best-ai-coding-assistants-a-full-comparison-of-20-tools3

cheatsheetseries.owasp.org/cheatsheets/Secure_Coding_with_AI_Cheat_Sheet.html2

docker.com/blog/ai-coding-agent-horror-stories-security-risks2

labs.cloudsecurityalliance.org/research/csa-research-note-ai-coding-assistant-attack-surfa2

memeburn.com/best-ai-coding-tools2

witness.ai/blog/ai-coding-assistants-security2

aitoolscope.net/cursor-vs-claude-code-vs-devin-in-2026-which-ai-coding-agent-actually-repl1

artificialanalysis.ai/agents/coding1

Pages are listed as the models cited them.

Names read as Devin

What the judge wrote, as written, with how often. The vendor table decides that these count as Devin; a claim can dispute any of them.

Devin Desktop 2Devin (Cognition Labs) 1

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 Devin'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 Devin, 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 deviniti.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.