Gemini Code Assist offers AI-powered software development assistance to help development teams build high quality applications faster, better, and more securely.

It is built using Google’s Gemini models to provide generative AI assistance to developers in IDEs with capabilities such as auto code completion, code generation, natural language chat, and more.

Key Features:

AI code assistance – Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL.

Natural language chat – Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs.

Code customization (Preview) – Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance (for example, enterprise developers can get code suggestions more pertinent to their private codebases, or Gemini can guide them to relevant documentation or pre-existing solutions within their own organizations).

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Gemini Cloud Assist uses AI integrated with your Google Cloud environment to provide application lifecycle management assistance. It analyzes your cloud environment, your resources deployed, as well as metrics and logs to deliver actionable insights tailored to your needs.

Key Features:

Integrated experience – Accessible through chat and directly embedded into the Google Cloud console product interfaces.

Accelerated outcomes – Achieve cloud goals faster across design, deployment, troubleshooting, and optimization.

Simplified Tasks – Reduce complexity of key cloud workflows with automation and intelligent guidance. 

Tailored assistance – Get a personalized experience based on your specific environment and usage of Google Cloud products.

Data privacy and security – Conforms to your existing permissions, accessing only the data, operations, and tasks that are authorized for any given user.

Responsible AI – AI is transforming industries and solving important, real-world challenges at scale. This vast opportunity carries with it a deep responsibility to build AI that works for everyone.

Gemini in Security provides generative AI-powered assistance to cloud defenders where and when they need it.

Key Features:

Simplify security for experts and non-experts alike

We anticipate that advances in generative AI will profoundly change how practitioners across skill levels “do” security. AI-assistive features can help teams proactively mitigate risk and usher in a new era of effectiveness.

Gemini in Security Command Center summarizes high-priority alerts for misconfigurations and vulnerabilities, highlighting potential impact and recommending mitigations before assets can be exploited.

Gemini in BigQuery provides AI-powered assistive and collaboration features, including code assist, visual data preparation, and intelligent recommendations that help enhance productivity and optimize costs. BigQuery provides a single, unified workspace that includes a SQL, a notebook, and a NL-based canvas interface for data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use.

Key Features:

Accelerate data preparation with AI – To simplify data preparation, validation, and enrichment, BigQuery now includes AI augmented data preparation that helps users to cleanse and wrangle their data. Additionally we are enabling users to build low-code visual data pipelines, or rebuild legacy pipelines in BigQuery. 

Kickstart the data-to-insights journey – Gemini in BigQuery provides new semantic search capabilities to help you pinpoint the most relevant tables for your tasks. Leveraging the metadata and profiling information of these tables from Dataplex, Gemini in BigQuery surfaces relevant, executable queries that you can run with just one click. 

Reimagine analytics workflow with natural language – The new BigQuery data canvas providesa reimagined natural language-based experience for data exploration, curation, wrangling, analysis, and visualization, allowing you to explore and scaffold your data journeys in a graphical workflow that mirrors your mental model. 

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Gemini in Databases (in Preview) is an AI-powered assistant designed to be your ultimate database companion. It helps you in every aspect of the database journey across development, performance optimization, fleet management, governance, and migrations.

Key Features:

Performance optimization – Gemini in Databases automatically analyzes your workloads, highlights problems, and provides recommendations to resolve them. It simplifies the intricate troubleshooting process by providing contextual explanations for complex database concepts and metrics.

Fleet management – Database Center offers reliability engineers and platform engineers a single pane of glass to view their entire database fleet. This new dashboard provides a central view on database performance, security, cost, and availability to proactively monitor and identify instances that need attention.

Proactively mitigate risks and ensure compliance – Database Center delivers simplified security configuration with automated scans, providing recommendations to mitigate risks and promote industry best practices. These recommendations help secure databases by hardening network security, access management, data protection, and audit capabilities.