Index › IT › Products › Google Code · November 2026 Edition
Source control hosting · Named, not ranked

Google Code

google.dev ↗

–Too few to rank
3/14Models named it
0First choices
3Warnings
November 2026 Edition · all company sizes counted.
Ranked inSource control hosting #24 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. Google Code has 2.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Services like CodePlex, Google Code, Gitorious... are either completely shut down or no longer supported.”Gemini 3.5 Flash · Negative question · warning
“Google Code was shut down in 2016—a reminder that anything Google touches can be deprecated”DeepSeek V4 Flash · Negative question · warning

Also on the shortlist

The products named in the same answers as Google Code, over the 3 answers 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.

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 Google Code 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 3 of the 3 answers that named Google Code and are not a share of its labels.

Domains cited

discuss.privacyguides.net2
g2.com2
hiraditya.github.io2
laoutaris.org2
reddit.com2
safeguard.sh2
awesome-privacy.xyz1
aws.amazon.com1
aydahwa.com1
bitbucket.org1

Sixteen of the sixteen domain citations in answers naming Google Code came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Google Code 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 Flash00011
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000