Developer data platform MongoDB and Google Cloud optimise Gemini Code Assist for developers
Summary
Gemini Code Assist, a part of Gemini for Google Cloud, debuted at Google Cloud Next ’24 in April. It generates code suggestions, answers queries about existing code in developers’ IDEs, and updates entire codebases with a single command.
Developer data platform MongoDB announced on Monday that it collaborating with Google Cloud to optimise Gemini Code Assist, a tool designed to offer advanced suggestions for application development on MongoDB.
This partnership is said to target millions of developers and tens of thousands of customers who rely on MongoDB’s data platform for crucial business applications on a daily basis.
Gemini Code Assist, which is part of Gemini for Google Cloud, was introduced at the Google Cloud Next ’24 in April. It functions by generating code suggestions, providing answers to queries regarding existing code within developers’ integrated development environments (IDEs), and facilitating the updating of entire codebases with a single command.
“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,” the company said in a press release.
Andrew Davidson, MongoDB’s Senior Vice President of Product, highlighted the potential of generative AI in modern application development. “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,” he said.
Stephen Orban, Vice President of Migrations, ISVs, and Marketplace at Google Cloud, highlighted the capabilities of Gemini Code Assist, which will now be augmented with MongoDB-specific information and documentation. Orban noted that this integration will enable developers to expedite application development, reduce friction throughout the software development lifecycle, and ultimately accelerate time to value.
The demand for generative AI-powered coding assistants is growing among developers who seek to automate routine tasks and enhance productivity. Gemini Code Assist, trained on publicly available datasets and boasting full codebase awareness, integrates seamlessly with popular applications, source-code repositories, and code editors.
Developers can leverage Gemini Code Assist’s core features, including natural language chat, code customisation, large-scale codebase changes, AI-powered task automation, and streamlined API development. Additionally, Gemini Code Assist provides citations for code suggestions, ensuring compliance with licensing requirements.
The optimisation for Gemini Code Assist and MongoDB is slated for release in the coming months.
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