Available later this year, Gemini Code Assist will offer a powerful new security capability with Snyk: the ability to proactively scan code snippets directly within your IDE.
“Snyk is thrilled to announce our newest collaboration with Google Cloud to create a more seamless security experience for developers leveraging Gemini Code Assist. The integration will allow developers to easily identify and fix vulnerabilities in human- or AI-generated code — accelerating software development initiatives, securely.” – Danny Allen, CTO of Snyk
Making gen AI application development easier
Creating a gen AI app may seem deceptively simple. However, developing a robust, enterprise-grade solution requires far more than just selecting a model and tweaking your prompts. You also need to proactively reduce the hallucinations these models sometimes produce, leveraging techniques such as Retrieval Augmented Generation (RAG), model tuning, factual grounding, and MLOps – a substantial investment.
This speaks to Google Cloud’s mission: to reduce friction and help developers build production-grade gen AI applications with speed and ease. We want to be your partner in this endeavor, and we’re supporting developers in three key ways.
Get started quickly when learning and evaluating new technologies
We provide tools and resources to help you jumpstart your gen AI projects, enabling you to move from concept to working prototype quickly and efficiently. One powerful resource is our collection of gen AI-focused Jump Start Solutions, available directly within the Google Cloud console. For example, our solution for building a RAG application with Cloud SQL empowers you to deploy a gen AI app with a few clicks. Jump Start Solutions provide a hands-on way to accelerate your understanding and implementation of powerful gen AI concepts. Once you’re ready to test and refine your ideas, Google AI Studio provides the prototyping environment where you can experiment with gen AI concepts quickly
An expansive portfolio for building and running gen AI apps
We offer an expansive set of easy-to-use yet flexible tools to build and run your gen AI apps. For starters, Vertex AI Model Garden’s curated library of 130+ models (with easy discovery, customization, and deployment tools) gets you started fast. Database solutions like AlloyDB integrate enhanced AI capabilities specifically for RAG-based gen AI apps, helping to ensure your users always have the most relevant, up-to-date data. Finally, our scalable GKE and Cloud Run container platforms provide the efficiency and flexibility you need to run your gen AI apps at scale.
Meeting you where you are with popular ecosystem technologies
We’re constantly expanding our integrations with our tools to streamline your gen AI development workflow. This includes deep integrations with popular open-source frameworks like LangChain, with our robust database offerings like AlloyDB, Cloud SQL, and Spanner. For easy scaling and a developer-friendly experience, Cloud Run now supports LangChain applications. We’ve also partnered with Hugging Face, a vibrant AI community, to empower developers even further. Our unique integration enables one-click model deployment from Hugging Face to Vertex AI or GKE, allowing Hugging Face users to leverage Google Cloud’s TPU power for faster training and deployment. It’s no wonder that over 90% of AI unicorns choose to build on Google Cloud.
Ready to create your own gen AI shopping assistant and put your skills to test? Get started with our easy RAG demo on GitHub. All of our exciting announcements today, including full codebase awareness, code transformation features, code customization, and new partnerships, are all designed to empower you, the developers. We’re making it faster and easier than ever to build cutting-edge generative AI applications. Join 5,000+ organizations transforming their workflow with Gemini Code Assist. Experience the power first hand by signing up for our preview program.
