//
Work smarter with AI personalized to you
// Tabnine's AI code assistant is context-aware of your projects,requirements,codebase,and more,so it understands your applications — and the way you work.
//
Tabnine is personalized to each engineering team for maximum value
// With three progressive levels of personalization,Tabnine performs like a fully onboarded member of your development team.
Context
//
Get accurate,relevant results with context awareness inside the IDE
// Tabnine uses all available data from the developer’s IDE — including variable types,comments,open files,imported packages,and libraries — to provide highly relevant code and recommendations out of the box.
Connection
//
Connect to your codebase,requirements,and docs to enhance performance
// Get better code generation,explanations,and tests by connecting Tabnine to your codebase and noncode information sources (including Atlassian’s Confluence and Jira,ticketing systems,and more).
Customization
//
Fine-tune Tabnine’s AI models for ultimate customization
// Organizations can maximize the value Tabnine provides by creating a bespoke model that further trains our models with your code.
//
The AI code assistant tailored to you and your team
// Get started today developing software with AI custom-fit to how your teams work —
and deliver high-quality code faster.
and deliver high-quality code faster.
Introducing new,more highly personalized AI software recommendations
5 -min read
/
February 22,2024
Tabnine can now use the context of our users to deliver more precise and more personalized recommendations for code generation and explanations,guidance,and more.
Switchable models come to Tabnine Chat
5 -min read
/
April 2,2024
Starting today,you can switch the underlying large language model (LLM) that powers Tabnine’s AI chat at any time.
Introducing Tabnine's Onboarding Agent
3 -min read
/
March 28,2024
Today we’re thrilled to introduce the Onboarding Agent for Tabnine Chat,a new product capability that helps developers onramp to a new project faster.
