In his article for VentureBeat, Tabnine’s CEO, Dror Weiss, tackles three prevalent misconceptions about generative AI that are hindering enterprise progress. In today’s business landscape, as AI continues to gain traction, it is imperative to distinguish fact from fiction. A great resource for organizations looking to implement generative AI.
Tabnine is an AI assistant tool used by over 1 million developers from thousands of companies worldwide. Tabnine Enterprise has been built to help software engineering teams write high-quality code faster and more efficiently, accelerating the entire SDLC. Designed for use in enterprise software development environments, Tabnine Enterprise offers a range of features and benefits, including the highest security and compliance standards and features, as well as support for a variety of programming languages and IDEs.
The popularity of generative AI has broken out of tech circles and become a household term, with seemingly everybody talking about the amazing things that AI can do for them.
But for many software developers, generative AI has been an integral part of their lives for quite some time. Code assistants such as Tabnine and others have reached wide adoption among developers, and we’re now seeing more and more demand for an AI development assistant at the organization level, and not just at the individual developer level.
In the following sections, we’re going to describe Tabnine Enterprise and how it helps organizations create higher quality code faster with the help of AI.
Organizations can expect to gain significant benefits by deploying AI in their SDLC:
Tabnine Enterprise offers contextual code suggestions that automate repetitive coding, generating high-quality, best-practice code. Based on Large Language Models trained on billions of lines of code from credible open source licenses, Tabnine provides:
Tabnine generates ~30% of code, contributing to the following factors:
Smooth integration into the existing development workflow
Unlike AI chatbots like ChatGPT, Tabnine perfectly integrates into existing tools and processes. This means that no process change is required and you start getting value from day one. Tabnine functions as an extension of the development workflow directly within IDEs, with plugins available for all recent versions of Visual Studio Code, IntelliJ (and all JetBrains IDEs), Jupyter Labs, Visual Studio (full support for VS 2022 coming Q3), and Eclipse (full support coming Q3). Implementation is both fast and painless!
Battle-tested with millions of developers
Initially released in 2018, Tabnine isn’t only the most mature AI assistant for software development, but with millions of users worldwide, it’s also the most widely used product on the market. This is important because expertise matters. While many companies can train or serve Large Language Models for code prediction, the real trick is serving the day-to-day needs of the developers with the right suggestion at the right time with the correct scope and context. Tabnine is the result of countless iterations and improvements based on feedback from professional developers who use our product every single day.
Trained on code with permissive license only (no GPL etc., no ambiguity)
Tabnine is only trained on open-source code with a permissive license.. This decision has painful implications for Tabnine in terms of acquiring training data, but it helps ensure that developers can use the code that Tabnine generates in commercial projects without uncertainty about open-source licenses. Moreover, training our AI on code with permissive licenses only fully respects the intent of the developers who contributed code to open source.
Learn more about how we keep our users’ complete privacy.
Provides tailored guidance by learning private projects code and patterns
While AI that’s been trained on open-source code can definitely accelerate development, projects of significant size have an “internal language” comprised of internal services, frameworks, and libraries with their APIs and idiomatic patterns of how to accomplish certain tasks in the codebase. Tabnine Enterprise’s AI models provide fully secured, tailored guidance by learning private projects’ code and patterns, making the AI assistance especially relevant when working with internal APIs and patterns. This increases not only the speed of development but also the consistency of the code and the ease of onboarding onto a new codebase.
Enterprise-grade security
Source code is a core asset of companies, and as such, security of services touching code is critical and typically needs to meet certain standards to comply with corporate regulations. Tabnine prioritizes user security, implementing robust measures to keep your data safe:
Future-proof architecture
Tabnine’s architecture decouples the product from any specific AI model used as a basis, while also connecting to any additional foundational models as soon as they become available. This means that when you choose Tabnine, you get on a platform that’s continuously improving, not just thanks to Tabnine’s own innovation, but also thanks to other community efforts for training better and stronger foundational models.
Tabnine Enterprise is an AI code generation tool that helps software engineering teams write high-quality code faster and more efficiently, accelerating the entire SDLC. Designed for use in enterprise software development environments, Tabnine Enterprise offers a range of features and benefits, including the highest security and compliance standards and features, as well as support for a variety of programming languages and IDEs.