How to get AI to write code like an engineer on your team
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Tired of getting generic results from AI coding assistants? Join us every Wednesday for a livestream, demo, and Q&A to learn how to use Tabnine to generate code like a fully onboarded member of your team.
We'll execute a live application build using AI agents to accelerate every step of the SDLC, from Jira issue to code review.
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Everything you need to know to transform your SDLC with AI
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Get AI code recommendations that you don't need to edit to use
Get AI code recommendations that fit the context of the project you're working on in your IDE
Get even more relevant recommendations by connecting Tabnine to your GitHub, Gitlab, or Bitbucket repos
Spend less time on code reviews while improving code quality and security with customizable rulesets that you define
Learn how to fine-tune and customize Tabnine's AI models for the ultimate level of personalization
Optimize AI performance for every task, use case, and language with LLM flexibility
Ship features faster, reduce errors, and simplify maintenance with AI agents
You never have to leave your IDE again — customize your workflow with AI agents
Go from Jira issue to implementation and validation in seconds
Quickly understand new projects and codebases
Find and fix errors in your code in minutes instead of hours
Hit your test coverage targets — the easy way
Generate documentation with a single button click
Take the pain out of your code reviews for good
Tailor Tabnine's AI code assistant to your team without sacrificing privacy or security
Learn how to maintain complete protection from IP issues and legal liability when using AI code assistants
See how Tabnine gives you personalized AI with complete privacy over your code and data
Configure deployments to meet your privacy and security needs: SaaS, VPC, on-premises, or fully air-gapped
Get the insights you need to select LLM providers and learn how to connect your own endpoints to Tabnine
