AI coding assistants · RankedSourcegraph Cody
Sourcegraph Cody is a coding assistant that uses search across an entire codebase to give context for developers' questions and changes · sourcegraph.com ↗
Why models recommend it
“alternatives such as Tabnine Enterprise or Sourcegraph Cody Enterprise are referenced for self-hosted, private deployment”Muse Glimmer 30B · Paraphrase question · alternative
“Very large monorepos or deep repository search | Sourcegraph Cody Enterprise”Perplexity Sonar · Paraphrase question · alternative
“Evaluate Sourcegraph Cody if you have a complex, multi-repo codebase”DeepSeek V4 Flash · Direct question · alternative
“privacy-focused tools like Sourcegraph Cody (with self-hosted models)”Grok 4.20 · Negative question · alternative
What gives them pause
“The original Cody product was discontinued/restructured... Check what's currently being supported before relying on it.”DeepSeek V4 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as Sourcegraph Cody, over the 34 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 34 | 25 | View → | |
| 30 | 0 | View → | |
| 28 | 3 | View → | |
| 27 | 2 | View → | |
| 16 | 1 | View → | |
| 12 | 1 | View → | |
| 11 | 0 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 0 | View → |
What the models named instead of Sourcegraph Cody →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Sourcegraph Cody's own site, not checked by Gane.
- For
- enterprise engineering teams
- Certifications
- SOC 2 Type II, ISO 27001
- Customers named
- Stripe, Leidos, Qualtrics
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
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 30 of the 34 answers that named Sourcegraph Cody and are not a share of its labels.
Domains cited
Fifty-nine of the sixty-nine domain citations in answers naming Sourcegraph Cody came from a third party's page. Ten were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 2 | 1 | 0 | 3 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 128 | 9 | 2026-09-21 | AI coding, SIEM | |
| Case study | 16 | undated | |||
| Webinar or virtual event | 8 | undated | |||
| Report or ebook | 6 | undated | |||
| Comparison | 6 | undated | SAST | ||
| Conference or event | 5 | undated | |||
| Template or tool | 1 | undated | |||
| Glossary or explainer | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-21The autonomous codebase blog
- 2026-09-16Agentic batch changes pricing blog
- 2026-09-14Introducing agentic batch changes blog
- 2026-08-28A smarter way to run code migrations with less llm context blog
- 2026-07-31How to evaluate sourcegraph on your own codebase blog
- 2026-07-27Compliance first ai proving agent provenance blog
Events in person
- September 16, 2026The autonomous codebase: Why the future of codebase maintenance looks nothing like a chat boxNew York · spoke
- September 15, 2026 to September 16, 2026Sourcegraph at LDX3 New YorkNew York · exhibited
- September 15, 2026How can engineering balance deterministic and non-deterministic tools while integrating agents into workflowsNew York · spoke
- September 15, 2026Sourcegraph in action: search, navigate, and ship across a large codebaseNew York · spoke
- July 2, 2026The death of the developer advocateMoscone West, Stage Level 2 Room 2014, San Francisco · spoke
- June 30, 2026The Enterprise Agentic Gap: When Developer-Level AI Tools Hit Millions of LinesMoscone West, Expo Stage 2 NW, San Francisco · spoke
- June 30, 2026Code, Cocktails & CutoversSan Francisco · hosted
- June 29, 2026 to July 2, 2026AI Engineer World's FairMoscone West, San Francisco · exhibited
- April 9, 2026 to April 10, 2026Sourcegraph at Enterprise AI SummitGuildhouse, San Jose · exhibited
- April 8, 2026Engineering & AI Leaders Dinner: South BayMeso, San Jose · hosted
As the event pages on sourcegraph.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page sourcegraph.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.