Tabnine and Atlassian Announce New AI Platform Integrations at Team ’24
02 May 2024 - 4:46AM
Tabnine, the originators of the AI coding assistant category, today
announced an expanded partnership and integration within the
Atlassian platform to build and maintain applications faster and
with higher quality through AI.
Unveiled at the Atlassian Team ’24 conference, the collaboration
company is making it easier than ever to integrate AI-enabled
software development tools directly with Atlassian’s suite of
products. Atlassian software partners will be able to leverage
Atlassian Rovo and the company’s Teamwork Graph to extend and
enhance their AI agents. Once available, these new integrations
will allow Tabnine’s customers to leverage the complete body of
information — the data and code that represents deep institutional
knowledge — that’s captured across Atlassian Jira, Confluence, and
BitBucket. Additionally, Tabnine’s first-to-market AI coding
assistant will be embedded as an agent within the Atlassian product
suite to provide the company’s full scope of generative AI features
anywhere an engineering team does their work. These new
capabilities are expected to be available in Atlassian’s products
later this year.
“Our extended partnership with Atlassian is a natural step
forward in supporting engineering teams anywhere and any how they
do their work, empowering them with cutting-edge AI capabilities
within the Atlassian ecosystem,” said Dror Weiss, CEO at Tabnine.
“Our focus is on providing engineering teams with flexibility and
control, ensuring that they can adopt AI within how they develop
software without having to change the other tools they use to see
the full benefit."
Tabnine is an Atlassian Ventures-backed company and a long-time
Atlassian customer, with significant integrations already
available. Atlassian customers can already benefit from the
partnership with Tabnine, including:
- Tabnine is integrated with Atlassian Bitbucket through the
developers IDE to provide critical context to personalize the
behavior of the AI coding assistant and ensure that code generated
by Tabnine is an ideal fit for each engineering
team. Personalized AI recommendations based on awareness of a
developer’s code are accepted 40% more often than AI
recommendations generated without these integrations.
- Tabnine is further integrated with Atlassian Bitbucket to even
more explicitly guide recommendations and to leverage a company’s
committed codebases as a “north star” for the AI coding assistant
to optimize recommendations towards. Tabnine administrators can
connect Tabnine to their organization’s Bitbucket repositories
(alongside any other Git-based tools, including GitHub and GitLab)
to deliver more personalized, higher quality results when
generating code, explaining code, creating tests, writing
documentation, and more. In addition, this connection allows a
developer to use plain language queries to better understand an
existing codebase, to find code that serves specific functions or
leverages specific APIs, and to identify code that can be reused on
their project. This capability is currently in Private Preview for
Tabnine Enterprise customers.
- Tabnine can use a customer’s code base stored in Bitbucket to
fine tune Tabnine’s custom-trained software development AI model.
Leveraging a company’s codebase to extend Tabnine’s existing models
results in higher performance in common software development tasks
and can dramatically improve the quality of code generated for
companies working in less common programming languages or
frameworks.
Highlighting the future of AI coding tools at Atlassian Team
’24, Tabnine also demonstrated its alpha build of a Tabnine AI
agent using natural language generation to transform simple
specifications stored in Jira into fully functional applications.
Read more about the current state of complete Issue-to-Application
code generation in Tabnine’s technical blog here.
In April, Tabnine added real-time switchable models, giving
users the ability to select the underlying LLM that powers its
software development chat tool, Tabnine Chat. This is part of
Tabnine’s ongoing commitment to provide engineering teams with the
greatest levels of flexibility and customization, including
complete control over where and how they deploy Tabnine, the models
they use, and the development tools they integrate with.
To learn more about the new integrations, read the Tabnine blog
here.
About TabnineTabnine helps development teams of
every size use AI to accelerate and improve the software
development life cycle. As the original AI coding assistant,
Tabnine has been used by millions of developers around the world to
boost code quality and developer happiness using generative AI.
Unlike other coding assistants, Tabnine is the AI that you control;
it is private and secure (easily running in your controlled
environments), personalized to your team yet never stores or shares
your company’s code, and offers models trained exclusively on
open-source code with permissive licenses to eliminate IP risks.
Learn more at tabnine.com or follow us on LinkedIn.
Contactpress@tabnine.com