Gemini Code Assist enables developers to accelerate application development and modernization on MongoDB using AI-powered coding assistance
MongoDB, Inc. and Google Cloud announced the two companies are collaborating to optimize Gemini Code Assist to provide enhanced suggestions for application development and modernization on MongoDB—the industry-leading developer data platform that millions of developers and tens of thousands of customers rely on every day for business-critical applications. Gemini Code Assist from Google Cloud generates code suggestions, answers questions about existing code in developers’ integrated development environments (IDEs), and can update entire codebases with a single prompt.
Through this collaboration, Gemini Code Assist can help developers get answers and information about MongoDB code, documentation, and best practices, so they will be able to more quickly prototype new features and accelerate application development.
“Generative AI is changing not only how end-users interact with modern applications but also how developers build those applications,” said Andrew Davidson, SVP of Product at MongoDB. “Collaborating with Google Cloud to integrate Gemini Code Assist with MongoDB libraries and best practices will give developers the ability to build more quickly and to focus on more difficult tasks like ideating new types of application experiences for customers.
Developers are a modern organization’s most valuable asset, and we’re excited to make it even easier for them to be at their best through this collaboration that puts generative AI-powered software development directly into their hands.”
“Gemini Code Assist offers enterprise-grade, AI-powered assistance to help developers write high-quality code more efficiently,” said Stephen Orban, VP, Migrations, ISVs, and Marketplace at Google Cloud. “Extending Gemini Code Assist with information, documentation, and code from MongoDB will help developers build applications more quickly, accelerate time to value, and reduce friction through the entire software development and delivery process.”
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.
