IT AI Index
Index Vendors › Sourcegraph Cody · September 2026 Edition
1 category · Ranked

Sourcegraph Cody

24Judge labels
0First choices
0Negative labels
10 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.
Best standing
0% in AI coding for enterprise buyers
Rank 15 of 46 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
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 Sourcegraph Cody 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
AI coding assistantsDeveloper platform0%15 of 460%7under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for Sourcegraph Cody 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 Sourcegraph Cody 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 Sonar01001
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash01102
Llama 4 Maverick00101
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Direct4 labelsNone
Paraphrase2 labelsNone
Comparative14 labelsNone
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative24 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.

“Sourcegraph Cody Enterprise and Tabnine are often highlighted as strong privacy-first options” DeepSeek V4 Flash · AI coding · negative prompt · alternative
“Choose Sourcegraph Cody if your biggest pain is working in a large, complex codebase” Perplexity Sonar · AI coding · direct prompt · alternative
“Best for: Large codebase understanding and enterprise workflows.” Mistral Small · 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.

No model argued against it.

Named alongside

The products named in the same answers as Sourcegraph Cody, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sourcegraph Cody was named but was not.
ProductSame answerTook the first choice insteadHead to head
GitHub Copilot24 of 2415Not in the top three
Tabnine20 of 241Not in the top three
Cursor19 of 242Not in the top three
Amazon Q Developer16 of 240Not in the top three
Claude Code12 of 241Not in the top three
Windsurf9 of 241Not in the top three
Augment Code9 of 240Not in the top three
Aider5 of 240Not in the top three
Gemini Code Assist5 of 240Not in the top three
JetBrains AI Assistant4 of 240Not 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 Sourcegraph Cody. 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 19 of the 24 answers that named Sourcegraph Cody and are not a share of its labels.

Domains cited

augmentcode.com15
axify.io10
dev.to5
gartner.com5
intuitionlabs.ai5
learn.g2.com5
memeburn.com5
resources.rework.com5
sourcegraph.comYour site5
agentic.ai4

Fifty-nine of the sixty-four domain citations in answers naming Sourcegraph Cody came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Sourcegraph Cody

What the judge wrote, as written, with how often. The vendor table decides that these count as Sourcegraph Cody; a claim can dispute any of them.
Cody (Sourcegraph) 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 Sourcegraph Cody'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 Sourcegraph Cody, 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 sourcegraph.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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