We’re excited to announce another leap forward in the performance and capability of the Tabnine AI coding assistant: highly personalized recommendations for every developer through local code awareness, and recommendations tailored to engineering teams through integrations with their global codebase.
Tabnine can now use the context of our users and enterprise customers to deliver more precise and more personalized recommendations for code generation, code explanations, and guidance, and for test and documentation generation. Starting today, you can increase Tabnine’s contextual awareness by enabling it to become aware of your environment — from a developer’s local IDE to the entire code base — and receive code completions, explanations and documentation that are specifically tailored to you and your engineering team.
Notably, Tabnine continues to stay true to our values and delivers these highly personalized recommendations without compromising our customers’ privacy. We continue to commit to advanced encryption and zero data retention for our SaaS users and offer company codebase awareness within our private, customer-deployed product. By significantly improving the quality of the output, these updates will help engineering teams further accelerate and simplify software development without sacrificing the security of legal compliance.
With code awareness, Tabnine takes into account the relevant parts of your project (e.g., existing APIs, frameworks, and patterns) and provides results that are more accurate and more specific to you.
For example, Tabnine will tell you how to connect to a database in a way that’s used for your project instead of connecting to any available database or connecting to a database in a different or generalized way.
For example, if you have an app to book flights, you can ask Tabnine to generate code that validates the flight data based on the logic within that specific app.
Generate code that aligns with the syntax and semantics of elements in your project, thus reducing potential hallucinations. Check code relative to project-specific logic. Be consistent with style and coding patterns when generating or completing code.
Generate a test for function X using the structure, style, and syntax used for the test of function Y.
In the past few years, AI coding assistants have gone from a “nice to have”’ for savvy developers to a “must have,” being implemented by engineering managers across their teams as they’ve proven to increase developers’ productivity, efficiency, and satisfaction. Early results from adopting AI software development tools have been promising, but there’s still significant room to improve, especially when it comes to continuing to improve the quality of the responses in the context of what the user is asking.
The LLMs that each of the AI coding assistants uses have some inherent limitations (even an engineered-for-purpose coding model like Tabnine’s). By design, these LLMs are universal; although they’ve been trained on vast amounts of data and contain billions of parameters, they’re not generally aware of the specific code and distinctive patterns of an individual organization. This lack of context and domain-specific knowledge likens their recommendations more to a skilled software engineer off the street rather than a deeply experienced engineer who is familiar with how an organization works. The result is that the recommendations from AI coding assistants, while accurate, often aren’t specifically tailored to an individual developer’s needs.
Just like you need context to intelligently answer questions in real life, coding assistants also need context to intelligently answer questions. Contextual awareness augments the LLMs by providing the subtle nuances that make a developer and organization unique. Tabnine achieves this context awareness in two ways:
In addition to the personalization of the AI assistant through the new capabilities, Tabnine continues to offer model customization to further enrich the capability and quality of the output. Enterprise engineering teams can benefit from a custom “Tabnine + You” model that fine-tunes our universal model with a customer’s own code.
The personalized recommendations from Tabnine don’t come at the expense of giving away access or control over your proprietary code and user data.
To achieve personalization, Tabnine uses retrieval-augmented generation (RAG) to provide the Tabnine AI coding assistant with knowledge of your organization’s specific characteristics and code. RAG is widely used to improve AI performance and not only reduces LLM hallucinations but also helps to overcome the inherent limitations of training data. Continuing to honor our commitment to your privacy, any information Tabnine uses to support RAG remains exclusively yours. Tabnine commits to zero retention or sharing of any customer data, ensuring your privacy at all times.
Here’s a brief description of how we handle data and maintain privacy.
Check out the Docs for more details on our data privacy standards.
There’s no additional cost to get these new personalized results from Tabnine. Every Tabnine Pro user is already benefiting from local code awareness. Tabnine Enterprise users can follow these instructions to activate local code awareness for their teams and can request access to the private preview of global code awareness by contacting their sales representative or our support team.
Sign up for our webinar to see this new level of personalization in action or check out the Docs to learn more. If you’re not yet a customer, you can sign up for Tabnine Pro today – it’s free for 90 days.
We’re excited to announce a strategic partnership with DigitalOcean to deliver Tabnine’s AI coding assistant to startups and small and medium-sized businesses (SMBs) across the world. Starting today, all DigitalOcean users can purchase Tabnine’s Pro plans for themselves and their engineering teams directly from their DigitalOcean account for consolidated billing and account management. Additionally, we are providing an introductory offer that gives 25% discount on Tabnine Pro monthly pricing to all DigitalOcean users. This makes it easier for startups and SMBs to leverage AI code completion and AI chat agents in their development workflows.
As the originator of the AI coding assistant category, Tabnine’s mission has always been to accelerate software development through AI for engineering teams of every size. DigitalOcean is the leader in cloud computing for startups and SMBs, and this partnership makes it easier for these smaller teams to benefit from generative AI. Every DigitalOcean customer can now accelerate and simplify the entire software development life cycle without sacrificing privacy, security, and compliance.
With this partnership, DigitalOcean customers get access to Tabnine Pro plans for one user to up to 10 users. To get started, simply choose the Tabnine plan that works best for you and click the ‘Add Tabnine’ button in your control panel.
Tabnine serves more than one million developers, generating more than 1% of the world’s code, and typically automates 30–50% of code generation. We support all the major IDEs and languages. Thus you can expedite the building of your app using Tabnine and deploy it easily on DigitalOcean’s platform via Droplets (cloud VMs), DigitalOcean Kubernetes, or App Platform (fully managed platform-as-a-service). Tabnine’s efficiency coupled with the simplicity of DigitalOcean is bound to unleash developer productivity among startups and SMBs.
We can’t wait to see what you’ll create with DigitalOcean and Tabnine. You can sign up for the Tabnine plans here and check out the Docs to learn more. If you’d like to chat about using Tabnine in your business or want to deploy Tabnine in your secure environment (on-premises or on VPC), please contact our Sales team.
We’re pleased to announce that Tabnine has successfully achieved compliance with the General Data Protection Regulation (GDPR), marking a significant milestone in our commitment to data protection and privacy. This accomplishment underscores our dedication to transparency, security, and, most importantly, our customers’ trust in our services.
At Tabnine, we recognize that privacy and security are inseparable. We’re proud to have implemented robust measures to ensure the highest standards of data protection and privacy for our users. As we embark on this GDPR-compliant journey, we’re reaffirming our commitment to prioritizing the confidentiality and security of your information.
GDPR is a comprehensive set of data protection and privacy laws established by the European Union (EU). Enforced since May 25, 2018, GDPR is designed to empower individuals with greater control over their personal data. It applies not only to EU-based organizations but also to those outside the EU that process the personal data of EU residents.
Over the past few months, we’ve diligently worked towards official compliance with the GDPR. This extensive process involved a thorough review and update of Tabnine’s Terms of Use and Privacy Policy. Additionally, we have formalized internal policies, introduced new processes, and implemented various changes throughout our services, such as the introduction of a new cookies policy. Look at Tabnine’s Trust Center for full details on our GDPR compliance.
By achieving GDPR compliance, Tabnine users and customers can be confident that their data is being handled responsibly. This compliance not only reinforces the trust you place in us but also positions Tabnine as a reliable partner for European companies and global organizations with employees in the EU.
Thank you for entrusting us with your information. Tabnine remains dedicated to delivering excellence in service and ensuring the highest standards of data protection. We look forward to continuing to serve you with the transparency, security, and privacy that you deserve.