MongoDB and Google Cloud Collaborate to Optimize Gemini Code Assist for Developers Building Applications on MongoDB
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Gemini Code Assist enables developers to accelerate application development and modernization on MongoDB using AI-powered coding assistance
"Generative AI is changing not only how end-users interact with modern applications but also how developers build those applications," said
"Gemini Code Assist offers enterprise-grade, AI-powered assistance to help developers write high-quality code more efficiently," said
Developers today want to integrate generative AI-powered coding assistants to automate parts of their day-to-day workflows so they can significantly increase their productivity and focus on difficult problems. Gemini Code Assist is trained on publicly available datasets, has full codebase awareness, and integrates with popular applications, source-code repositories, and code editors. MongoDB and Google Cloud have partnered closely to help improve Gemini Code Assist responses, bringing a greater depth of intelligence for developers on MongoDB.
Through this integration, developers can get enhanced suggestions for MongoDB to help them more quickly build and modernize their applications, and easily access highly curated content and code from MongoDB documentation, detailed use cases, and common tasks with best practices that developers encounter when working with data on MongoDB. Consequently, Gemini Code Assist will help developers more quickly write high-quality code when building data aggregations, performing database operations, and accelerating migration of applications to MongoDB for modernization.
Developers can also take advantage of core Gemini Code Assist features, including natural language chat, code customization, large-scale changes to entire codebases, AI-powered smart actions to automate tasks, and streamlined API development. Gemini Code Assist also provides citations for code suggestions to help enterprises comply with licensing requirements. Through MongoDB and Google Cloud's ongoing collaboration to support Gemini Code Assist, developers will be able to significantly reduce the time spent on repetitive tasks and build data-driven applications with MongoDB on Google Cloud more quickly.
The new optimization for Gemini Code Assist and MongoDB will be available in the coming months. Learn more about building applications with MongoDB on Google Cloud.
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Forward-looking Statements
This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning MongoDB's expanded collaboration with Google Cloud. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the effects of the ongoing military conflicts between
MongoDB Public Relations
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SOURCE MongoDB, Inc.
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