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Sourcegraph Cody vs Tabnine — Head-to-Head Comparison
Quick verdict: Sourcegraph Cody edges ahead with a 4.4/5 rating vs 4.2/5. Sourcegraph Cody stands out for unmatched codebase context through sourcegraph's search engine, while Tabnine excels at strongest privacy and on-premise options in the market.
Feature Comparison
| Feature | Sourcegraph Cody | Tabnine |
|---|
| Entire codebase context via Sourcegraph search | ✓ | — |
| Cross-repository code understanding | ✓ | — |
| AI chat with codebase-aware responses | ✓ | — |
| Inline code completion with deep context | ✓ | — |
| Code explanation across complex paths | ✓ | — |
| Multi-repository search and analysis | ✓ | — |
| Custom context controls (@-mentions) | ✓ | — |
| Support for multiple LLM providers | ✓ | — |
| VS Code and JetBrains integration | ✓ | — |
| Enterprise code graph integration | ✓ | — |
| AI code completion with team learning | — | ✓ |
| Fully on-premise deployment option | — | ✓ |
| Models trained on permissive OSS only | — | ✓ |
| IDE support for 15+ editors | — | ✓ |
| AI chat for code assistance | — | ✓ |
Pricing Comparison
| Plan | Sourcegraph Cody | Tabnine |
|---|
| Starting price | $0/month | $0/month |
| Free plan | Yes | Yes |
| Mid tier | $9/month | $9/month |
Pros & Cons
Sourcegraph Cody
Pros
- Unmatched codebase context through Sourcegraph's search engine
- Cross-repository understanding for large organizations
- Flexible LLM provider choice (Claude, GPT, etc.)
- Excellent for understanding and reviewing complex codebases
Cons
- Full power requires Sourcegraph platform setup
- Less competitive for pure inline completion speed
- Enterprise features require significant infrastructure
- Smaller community compared to Copilot or Cursor
Tabnine
Pros
- Strongest privacy and on-premise options in the market
- Models trained exclusively on permissively licensed code
- Team learning improves suggestions over time
- SOC 2 certified for enterprise compliance
Cons
- Suggestion quality slightly behind Copilot and Cursor
- Free tier is quite limited compared to competitors
- On-premise setup requires dedicated infrastructure
- Slower to adopt latest model improvements
Which Should You Choose?
Choose Sourcegraph Cody if:
- Large engineering organizations needing AI that understands their entire codebase
- Code reviewers who need deep cross-repository context for thorough reviews
Try Sourcegraph Cody
Choose Tabnine if:
- Enterprises in regulated industries needing on-premise AI code completion
- Teams prioritizing code privacy and intellectual property protection
Try Tabnine
