Cody vs Tabnine: Which AI Coding Assistant Should You Use?

A side-by-side comparison of Sourcegraph Cody and Tabnine — two AI coding assistants with different approaches to codebase context, pricing, and IDE support.

Updated 2026-09 · 2026

Cody

AI coding assistant with deep codebase context from Sourcegraph

$0user/month (Free); Pro $9, Enterprise custom

Strengths

+Whole-codebase context via Sourcegraph's code graph, not just open files
+Strong at answering questions about large, unfamiliar repos
+Works with multiple LLMs (Claude, GPT-4o, Gemini) — pick per task

Weaknesses

-Best features tied to Sourcegraph's platform, less useful standalone
-Fewer supported IDEs than Tabnine
-Enterprise pricing not published — requires sales conversation

Best for

Teams already using or considering Sourcegraph for code search who want AI that understands their entire codebase, not just the current file.

Tabnine

AI-powered code completion built for privacy-conscious dev teams

$0user/month (Basic); Dev $9, Enterprise custom

Strengths

+Broadest IDE support — VS Code, JetBrains, Vim, Eclipse, Visual Studio and more
+Option to run fully on-premise or air-gapped for strict compliance needs
+Trains on your private codebase without sending code to third parties (Enterprise)

Weaknesses

-Chat and multi-file reasoning weaker than Cody's codebase-wide context
-Free tier limited to basic single-line completions
-On-prem/private model options gated behind Enterprise pricing

Best for

Teams needing wide IDE coverage and strict data-privacy guarantees (on-prem or private model hosting) more than deep codebase Q&A.

Feature Comparison

Feature	Cody	Tabnine
Free tier	Yes, unlimited autocomplete + limited chat	Yes, basic single-line completions
Codebase-wide context	Strong (Sourcegraph code graph)	Limited (mostly local file/project context)
Chat / Q&A on code	Yes, core feature	Yes, on paid tiers
IDE support	VS Code, JetBrains, Neovim, some others	VS Code, JetBrains, Vim, Eclipse, Visual Studio, and more
Model choice	Claude, GPT-4o, Gemini, others (switchable)	Tabnine's own models + some third-party options
On-premise / air-gapped deployment	Enterprise only	Enterprise only, more mature offering
Multi-repo / monorepo support	Strong	Basic
Code review / PR assistance	Yes	Limited
Team analytics/admin controls	Enterprise	Enterprise
Pricing transparency	Free & Pro public, Enterprise custom	Free & Dev public, Enterprise custom

The Verdict

Cody wins if your team needs an assistant that actually understands a large, messy codebase and can answer questions across files — that's its core differentiator. Tabnine wins on raw IDE coverage and privacy-first deployment options, especially if you need on-prem hosting without enterprise sales friction. For most small teams doing day-to-day feature work, Cody's free tier is the stronger starting point; pick Tabnine if your editor isn't well supported by Cody or compliance requires local-only inference.

How to switch from Cody to Tabnine

1Before switching, copy any custom commands, saved prompts, or reusable chat snippets from Cody into a plain text or markdown file — Cody has no formal export feature, so this manual step preserves your team's prompt library.
2Install the Tabnine extension for your IDE (VS Code, JetBrains, etc.) from the official marketplace and sign in with a Tabnine account.
3Choose your plan: start on Tabnine Basic (free) to test completions, then upgrade to Dev ($9/user/month) if you need chat and longer suggestions.
4Recreate any Slack or GitHub PR integrations manually, since Tabnine doesn't offer the same bot-based workflows as Cody Enterprise — check Tabnine's docs for supported CI/CD integrations instead.
5Uninstall the Cody extension from each developer's IDE and disable any Sourcegraph-linked repository access to avoid duplicate suggestions during the transition.
6Roll out to the team in stages — have 1-2 developers use Tabnine for a sprint, confirm completion quality on your stack, then switch the rest of the team.

Cody vs Tabnine: common questions

How do I export my settings or history from Cody before switching to Tabnine?+

Cody doesn't store a portable 'project' file — your chat history lives in your Sourcegraph account and IDE extension cache. Before switching, manually copy any saved prompts, custom commands, or code snippets you rely on into a text file, since there's no built-in export button. Your actual code is untouched since Cody never owns your source — only its suggestions and chat logs are lost.

What do I lose by switching from Cody to Tabnine?+

You lose whole-codebase context and chat-based Q&A across multiple repos, which is Cody's main strength. Tabnine's completions are more localized to open files, so you'll get less help understanding unfamiliar parts of a large codebase and will rely more on manual searching or docs.

Is Tabnine's free plan enough for a small team of 3-5 developers?+

Tabnine's Basic free plan gives each developer unlimited single-line completions, which covers basic autocomplete needs. If your team wants chat, longer suggestions, or private model training, you'll need the Dev plan at $9/user/month — for 5 developers that's $45/month, still cheaper than most Enterprise AI coding tools.

Does Tabnine integrate with the same tools Cody does, like GitHub and Slack?+

Tabnine integrates directly at the IDE level (VS Code, JetBrains, etc.) rather than through GitHub or Slack apps like some Cody Enterprise setups. If your team relies on Cody's Slack bot or GitHub PR comments, you'll need to rebuild that workflow manually or skip it, since Tabnine focuses purely on in-editor assistance.

Will switching to Tabnine actually cost less over a year?+

Yes, for teams under 10 people: Tabnine Dev at $9/user/month annually runs about $108/user/year, similar to Cody Pro's $9/user/month. The real savings come if you don't need Enterprise features — Tabnine's on-prem option is often cheaper to license than Sourcegraph's custom Enterprise contracts for compliance-heavy teams.