Qodo vs Tabnine: Beyond code completion

While Tabnine focuses on enhancing coding speed and efficiency through code completion, Qodo emphasizes code quality and integrity, offering additional features like automated test generation and code review support.

The Qodo difference

Qodo offers deeper context-awareness, advanced reasoning capabilities, and robust testing tools, making it a quality-focused solution across the entire software development lifecycle.

Global context-awareness

Local code indexing and advanced RAG for retrieving context from enterprise-scale code repos

Comprehensive testing and review

Robust testing and review tools that enable test automation and execution of clean, healthy code.

Solve complex coding challenges

Code-oriented, multi-stage flow that guides LLMs through reasoning and iterative testing.

Deploy anyway, anywhere

Flexible deployment options while supporting developers’ preferred IDEs and Git platforms.

Choosing the right pull request tool for your workflow

Deployment

SaaS, On-prem, VPC, Cloud-prem, Air-gapped

SaaS, On-premise, VPC

Compliance

SOC 2 Type 2

SOC 2 Type 2

Data retention

Per customer choice: Zero data retention or 48 hour log retention for troubleshooting

Zero data retention

IDE Support

Git Support

Model Support

Switch between GPT-4o, GPT-o1-preview, o1-mini, Claude Sonnet 3.5, Gemini 1.5 Pro and Qodo proprietary models

Proprietary models for code completion and chat. 

Third party models for chat only: Mistral, GPT-4o,  o1-preview, o1-mini, Claude Sonnet 3.5, Codestral

Context-Awareness

Advanced context collection with static analysis and RAG to connect organization code and repos for global context

Provides context-aware code suggestions, tailored to an organization’s best practices

Index locally available open files in IDE and Gitub repos

Provides context-aware code suggestions

Advanced selection of different code bases; tag repos and select subset repos

Use natural language to generate code based on specifications

Use natural language to generate code based on specifications

Code generation

Autocomplete of full snippets and functions

Generate unit tests via AI Chat

Use natural language to generate code based on specifications

Use natural language to generate code based on specifications

Generate documentation

Generate documentation

Code Testing

Advanced testing suite for unit tests

Generate unit tests via AI Chat

Run and interact with tests inside  the IDE

Automatic fix

Code behavior analysis that identifies code behaviors to generate edge case and happy path tests, shows coverage by existing tests, and allows test generation for uncovered behaviors