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.
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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.
SaaS, On-prem, VPC, Cloud-prem, Air-gapped
SaaS, On-premise, VPC
SOC 2 Type 2
SOC 2 Type 2
Per customer choice: Zero data retention or 48 hour log retention for troubleshooting
Zero data retention
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
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
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
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
Customize test cases
Limited options for test customization or refinement
Integrated in IDE and Git
Only in IDE
Pull request agent that automatically generates PR description, title, type and summary of change in the PR
Issue detection, remediation and prioritization directly in the pull request
Coding agent in the IDE for code suggestions on code smells, issues, optimize code efficiency and adhere to best practices.
Direct implementation of code suggestions to a PR
Basic Free
Team $19 per user/month
Enterprise custom