MongoDB has announced a partnership with Google Cloud to optimise Google Code Assist, an AI-powered coding assistant, to enhance the application development and modernisation of MongoDB.
Gemini Code Assist can generate code suggestions, answer queries related to the existing code, and even update the entire codebase with a single prompt.
Through this partnership, Gemini Code Assist will provide developers with enhanced suggestions, answers, and information about MongoDB code and documentation, as well as suggest best practices.
This means developers will be able to prototype new features and accelerate application development on MongoDB's industry-leading developer data platform.
Here are the key benefits of the optimised Gemini Code Assist for MongoDB include:
- Get access to highly curated content and code from MongoDB documentation, use cases, and common tasks, followed by industry-standard practices.
- Ability to quickly write high-quality code for data aggregations, database operations, and migration of applications to MongoDB.
- Core features of this collaboration include natural language chat, customisation, large-scale codebase changes, smart actions to automate tasks, and streamlined API development.
- Proper attribution and citations for code suggestions to help enterprises maintain compliance with licensing requirements.
Andrew Davidson, SVP of Product at MongoDB, stated that the collaboration would allow developers to build more quickly and focus on innovating new customer application experiences.
Stephen Orban, VP at Google Cloud, added that extending Gemini Code Assist with MongoDB information would help developers build applications faster and reduce friction in the software development process.
The optimised Gemini Code Assist is expected to significantly reduce developers' time spent on repetitive tasks and accelerate the building of data-driven applications with MongoDB on Google Cloud.
The new capabilities will be available in the coming months. MongoDB and Google Cloud have partnered closely since 2018 to enable customers to build innovative applications.
This latest collaboration on generative AI-assisted development further strengthens the partnership to help organisations succeed in digital transformations.
Previously, MongoDB had announced Generative AI features for Atlas Vector Search.
- Chai Point Cuts Monthly AWS Bill by 58%
- Bengaluru AI Startup Simplismart Raises $14 Mn in NVIDIA-Backed Round
- Maya Research Releases Open-Weight Speech Model Supporting 12 Languages
- Anthropic Sued Over Alleged Use of Elvis Presley Songs to Train Claude, Denies Claim
- CoRover Lists Three BharatGPT Models On Government-Backed AIKosh Platform
- Cent Raises $15 Million to Expand AI-Powered Preventive Healthcare