In November, Tabnine released major upgrades to our free AI code assistant, including access to more AI agents, advanced personalization features, and many others. We’ve also added support for Jira Cloud for our Enterprise self-hosted customers, enabling smarter workflows and enhanced productivity. Lastly, we’ve continued to refine our Tabnine AI Chat experience, making interacting with the chat easier and more resourceful.
In a world filled with rising costs, big tech price hikes, and “shrinkflation,” it’s great when you get more value for your money. It’s even better when you get more for free. With this in mind, we’ve made significant additions to our free AI code assistant, Tabnine Basic, including access to more AI agents, advanced personalization features, and the ability to use Claude 3.5 Sonnet as the basis for Tabnine’s code generation and validation features.
If you’re an existing Tabnine Basic plan user, we encourage you to register (if you haven’t already) and update your Tabnine plugin to take advantage of the latest capabilities. To unlock all the capabilities, you need to register for Tabnine and be logged in. Registering for Tabnine involves creating an account and providing us your email address — no credit card is required.
Check out our announcement blog post to learn more about all of the upgrades to our free AI code assistant.
We’re excited to announce that Tabnine Enterprise (self-hosted) now supports seamless integration with Jira Cloud. You can easily connect your Jira Cloud boards to Tabnine, enabling smarter workflows and enhanced productivity. Streamline task management and stay aligned with your team without leaving your editor.
Connecting Tabnine to Jira gives you access to our Jira Implementation Agent and Jira Validation Agent. Tabnine implements Jira issues and generates code from the requirements in the issues, and validates code to verify that it captures the requirements in a Jira issue, providing guidance and code suggestions if it doesn’t.
Read our Jira Integration Docs to learn more.
Within VS Code and JetBrains, Tabnine users can utilize @mentions to search for files according to their project reference beyond just searching for them by name, while staying within Inline Actions. By allowing the prompt to incorporate project references (e.g., functions, constants, objects, etc.), it becomes more intelligent and context-sensitive, leading to better, more precise results that align with the specific project context. It also saves time and enhances productivity, particularly in large codebases.
Open Tabnine Chat now without having to remove yourself from your flow state with the updated keybinding:
In addition to these capabilities, we also made numerous enhancements to Tabnine Enterprise self-hosted. Check out the release notes to learn more.
With the upgraded Basic plan, improvements to our Tabnine Inline Actions experience, and evergrowing list of supported integrations, November’s updates reflect our dedication to making Tabnine the ultimate AI code assistant. We’re thrilled for developers to dive into these new features and boost their workflow efficiency.
Keep an eye out for future announcements!
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