Gemini 3.5 Flash Integrations

Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.

Junie, the AI coding agent by JetBrains, revolutionizes the way developers interact with their code by embedding intelligent assistance directly into JetBrains IDEs like WebStorm, RubyMine, and GoLand. Designed to fit naturally into developers’ existing workflows, Junie helps tackle both small and ambitious coding tasks by providing tailored execution plans and automated code generation. It combines the power of AI with IDE capabilities to perform code inspections, syntax checks, and run tests automatically, maintaining code quality without manual intervention. Junie offers two distinct modes: one for executing code tasks and another for interactive querying and planning, allowing developers to seamlessly collaborate with the agent. Its ability to comprehend code relationships and project logic enables it to propose efficient solutions and reduce time spent on debugging. Developers from various fields, including game development and web design, have showcased impressive projects built entirely or partly with Junie’s assistance. The tool supports multi-file edits and integrates version control system (VCS) assistance, making complex refactoring easier and safer. JetBrains offers multiple pricing plans tailored to individuals and organizations, ranging from free tiers to premium AI Ultimate for intensive daily use. By handling repetitive coding chores, Junie frees developers to focus on the creative and strategic aspects of software development. Overall, Junie stands as a powerful AI companion transforming traditional coding into a smarter, more collaborative experience.

Google AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini 3, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.

Windsurf is an innovative IDE built to support developers with AI-powered features that streamline the coding and deployment process. Cascade, the platform’s intelligent assistant, not only fixes issues proactively but also helps developers anticipate potential problems, ensuring a smooth development experience. Windsurf’s features include real-time code previewing, automatic lint error fixing, and memory tracking to maintain project continuity. The platform integrates with essential tools like GitHub, Slack, and Figma, allowing for seamless workflows across different aspects of development. Additionally, its built-in smart suggestions guide developers towards optimal coding practices, improving efficiency and reducing technical debt. Windsurf’s focus on maintaining a flow state and automating repetitive tasks makes it ideal for teams looking to increase productivity and reduce development time. Its enterprise-ready solutions also help improve organizational productivity and onboarding times, making it a valuable tool for scaling development teams.

Our objective is to organize global information in a systematic way to ensure easy access and usability for everyone. When you perform a search, you are met with an overwhelming number of webpages brimming with useful content. The selection process that Google undergoes to determine which results you see actually commences long before you start your search, as it is fueled by a commitment to providing the highest quality information suited to your needs. Before you even enter your query, Google carefully catalogs data about various webpages in its Search index, a massive database that far exceeds the total knowledge found in all of the world's libraries. In just a few seconds, Google's Search algorithms analyze hundreds of billions of pages within this index to present the most relevant and beneficial results customized to your needs. To make your search experience even better, Google offers results in multiple useful formats, such as maps with navigation, images, videos, and stories, while constantly working to develop innovative ways to present information. This continuous advancement highlights our dedication to enhancing how you discover and engage with the immense trove of information available on the internet, ensuring it meets your evolving needs.

Android Studio provides powerful tools designed for creating applications that work seamlessly across all Android devices. It enables developers to craft complex layouts using ConstraintLayout by setting constraints among different views and guidelines. Moreover, users can preview their designs on various screen sizes by selecting from a multitude of device configurations or by modifying the dimensions of the preview window. For those looking to minimize app size, the platform allows for thorough analysis of APK contents, including the inspection of the manifest, resources, and DEX files, no matter how the APK was generated. Additionally, it offers the capability to compare different APK versions to monitor size variations over time. Users will find that app installation and execution is faster than on a physical device, while also being able to simulate a range of configurations and features, including ARCore for augmented reality development. Further enhancing productivity, the sophisticated code editor supports code completion for Kotlin, Java, and C/C++, facilitating a smoother development process. With these comprehensive features, developers can optimize their workflow, ultimately achieving more efficient and high-quality application development results. As a result, Android Studio stands out as an essential tool for modern app developers.

Experience our free, collaborative IDE that functions directly in your browser, enabling you to code in more than 50 programming languages without any installation hassle. You can start coding in your language of choice from any device, regardless of the operating system or platform you use. Invite friends, team members, and colleagues to collaborate in real-time, much like how Google Docs allows for simultaneous editing. Effortlessly import, run, and collaborate on numerous GitHub repositories without the need for tedious manual setups. Whether your interests lie in Python, C++, HTML, or CSS, our platform empowers you to learn and code in any language you wish, all within a single environment. As soon as you create a new repl, it immediately becomes live and shareable with users worldwide. Join a community of over 3 million passionate programmers, technologists, creatives, and learners who are excited to improve their coding abilities. Enhance your team's productivity with interactive documentation, real-time collaboration tools, and straightforward options for remote interviewing. Moreover, you can create applications programmatically, develop bots, and customize the IDE with plugins according to your specific needs, ensuring a tailored coding journey. This comprehensive platform aims to make coding not only more accessible but also more enjoyable for everyone involved, fostering a vibrant learning atmosphere. With such a diverse range of features, it caters to both novice and experienced developers alike, promoting growth and collaboration in the coding community.

Gemini is Google’s next-generation AI assistant designed to deliver intelligent help across research, creativity, communication, and task management. Built on Google’s most advanced AI models, including Gemini 3, it helps users understand complex topics, generate content, and solve problems through natural conversation. Gemini enables text, image, and video generation, allowing users to quickly turn ideas into visual and written outputs. Its grounding in Google Search ensures responses are informed, relevant, and easy to explore further through follow-up questions. Gemini supports hands-free and conversational brainstorming through Gemini Live, making it useful for presentations, interviews, and idea development. With Deep Research, Gemini can analyze hundreds of sources and compile detailed reports in a fraction of the time. The platform connects directly to Google apps like Gmail, Docs, Calendar, Maps, and YouTube to streamline everyday workflows. Users can build personalized AI helpers using Gems by saving detailed instructions and uploaded files. Gemini’s long context window allows it to process large documents, code repositories, and research materials in a single session. Multiple plans provide flexibility, from free access for students and casual users to premium tiers with higher limits and advanced features. Gemini is available across web and mobile devices for seamless access. Designed to adapt to different needs, Gemini supports consumers, professionals, educators, and enterprises alike.

Cursor is a cutting-edge AI development environment built to amplify developer productivity through intelligent collaboration between humans and AI. Developed by Anysphere, Cursor introduces a fundamentally new paradigm for software creation—where developers interact with code through natural language, real-time agents, and precision autocompletion. The platform’s flagship Agent feature functions as a capable coding partner that can autonomously generate, refactor, and test code, while allowing fine-grained user control over each step. The Tab model, trained via online reinforcement learning, provides contextually perfect completions that adapt to your personal coding style and the specific logic of your project. With codebase indexing, Cursor understands the full structure and dependencies of complex repositories, enabling intelligent navigation, instant debugging, and meaningful cross-file reasoning. The IDE integrates seamlessly across the development ecosystem—reviewing pull requests in GitHub, answering queries in Slack, and syncing directly with enterprise CI/CD systems. Developers can choose their preferred AI model, including GPT-5, Claude Sonnet 4.5, Gemini 2.5 Pro, or Grok Code, ensuring optimal performance across different use cases. Cursor’s agentic interface offers an “autonomy slider,” letting users adjust between manual edits and fully autonomous coding sessions. Designed with security and scale in mind, it’s trusted by leading organizations such as Stripe, Figma, Adobe, and Ramp. By merging AI reasoning, precision tooling, and an elegant developer experience, Cursor is shaping the future of how software is built, tested, and shipped.

Google Antigravity is an innovative agentic development environment that marks the evolution of the IDE into a fully AI-driven, multi-agent workspace. Built for the Gemini 3 era, it enables developers to collaborate with autonomous agents that operate cohesively across the editor, terminal, and browser. Each agent can plan, execute, and validate complex tasks—from code generation and debugging to integration testing and deployment—while maintaining complete contextual awareness. The Antigravity interface replaces low-level micromanagement with a higher-level, task-oriented control system, letting developers act as architects guiding teams of intelligent agents. Through cross-surface synchronization, agents share memory and data across all development surfaces, ensuring consistency and coordination across projects. Developers can use natural language prompts to describe tasks, while Antigravity’s artifact-based feedback loop provides transparent insight into every agent decision, output, and verification step. The platform supports both solo developers and enterprise teams, offering a centralized mission control for multi-agent collaboration at scale. Designed with user trust in mind, it prioritizes data privacy, interpretability, and real-time user feedback integration. Antigravity also enhances creativity through vibe coding, allowing developers to build fully functional apps with conversational prompts and instant iteration. By merging intelligent automation with human intent, Google Antigravity redefines what it means to write, test, and ship software in the agent-first era.

Gemini Spark is a cloud-based AI automation agent created by Google to help users transform information into actionable workflows through intelligent task management, automation, and digital assistance capabilities. Built on Gemini 3.5 and powered by the Antigravity harness, the platform represents an evolution of Gemini from a conversational AI assistant into an active productivity partner capable of performing real work under user direction. Gemini Spark integrates deeply with Google Workspace applications including Gmail, Docs, Slides, and other connected services to automate recurring workflows, monitor communications, summarize information, generate documents, and coordinate multi-step tasks. Unlike traditional assistants that respond only when prompted, Spark continuously operates in the background even when a user’s laptop is closed or mobile device is locked, allowing workflows and automations to continue running persistently in the cloud. Users can configure recurring triggers and automated tasks such as monitoring monthly credit card statements, identifying hidden subscription fees, summarizing school updates, extracting deadlines, and generating consolidated reports automatically. The platform also enables advanced workflow orchestration by synthesizing meeting notes from emails and chats, creating polished Google Docs, and drafting companion emails or project kickoff communications without requiring manual coordination. Gemini Spark supports personalized skill training so users can teach the AI how to handle unique workflows, information sources, and recurring operational tasks tailored to individual needs. Google is also expanding Spark’s capabilities through MCP integrations with services such as Canva, OpenTable, and Instacart, enabling broader cross-platform task execution and workflow automation.

Gemini Enterprise Agent Platform Notebooks deliver a comprehensive workspace for building, testing, and deploying machine learning models within a single, integrated environment. By combining the simplicity of Colab Enterprise with the advanced capabilities of Agent Platform Workbench, the platform supports both beginner-friendly and expert-level workflows. Users can directly connect to Google Cloud services such as BigQuery, Data Lake, and Apache Spark to analyze and process large datasets efficiently. The notebooks enable rapid prototyping with scalable compute resources and AI-powered code generation that speeds up development. Teams can move seamlessly from data exploration to training and production deployment without leaving the platform. Fully managed infrastructure handles compute provisioning, scaling, and cost optimization, reducing operational complexity. Security is built in with enterprise-grade controls, including single sign-on, authentication, and secure access to cloud resources. The platform supports multiple frameworks like TensorFlow and PyTorch, allowing flexibility in model development. Integrated visualization tools help users gain insights from data and monitor model performance. Deep integration with MLOps workflows enables automated training, versioning, and deployment through CI/CD pipelines. Notebook sharing and reporting features improve collaboration and communication across teams. Continuous optimization tools help refine models and improve accuracy over time. Overall, it transforms notebook-based development into a scalable, production-ready AI workflow solution.

Gemini Enterprise app is a powerful enterprise-grade AI platform that enables organizations to deploy, manage, and scale AI agents across their entire workforce. It integrates seamlessly with popular productivity tools and data sources, allowing users to access and analyze business data through a single interface. The platform supports advanced automation by enabling agents to execute complex, multi-step workflows across multiple applications. It includes prebuilt agents like NotebookLM Enterprise, as well as tools for building custom and third-party agents using a no-code approach. Gemini Enterprise app provides robust security, governance, and compliance features, including data access controls, encryption, and regulatory support. It offers centralized visibility into all agents, workflows, and permissions, ensuring efficient management at scale. The platform is designed to enhance productivity across departments by automating repetitive tasks and accelerating content creation. It also helps break down data silos by connecting multiple data sources into one system. With scalable pricing options and enterprise-grade infrastructure, it supports both small teams and large organizations. Overall, Gemini Enterprise app delivers a unified, secure, and scalable solution for AI-driven business transformation.

Google AI Overviews are a cutting-edge search feature designed to provide users with instant, AI-generated summaries of search topics. By synthesizing information from multiple web pages, these overviews offer users a broader understanding of a subject, often placed above organic listings in search results. Using Google's Gemini large language model, AI Overviews are crafted to be clear, concise, and informative, making it easier for users to access relevant information quickly. These overviews are part of Google’s ongoing efforts to enhance user experience, leveraging AI to make search results more efficient and accessible. With the expansion of AI Overviews to more languages and countries, users around the world can benefit from this innovative tool to streamline their search experience.

Agent Search on Gemini Enterprise Agent Platform is a comprehensive tool that enables organizations to build high-quality, AI-driven search experiences powered by their own data. It delivers Google-level search performance across websites, internal systems, and large datasets, including both structured and unstructured information. The platform enhances traditional search by introducing conversational interfaces that understand user intent and provide context-aware results. As a built-in retrieval augmented generation (RAG) system, it grounds AI responses in enterprise data, improving accuracy and reliability. It streamlines complex processes such as data ingestion, transformation, indexing, and retrieval into a simplified workflow that requires minimal setup. Industry-specific capabilities support specialized use cases in healthcare, media, and commerce, offering tailored search and recommendation features. Developers can customize and extend functionality using APIs for embeddings, ranking, document parsing, and grounded generation. The platform also integrates with vector search technology, enabling advanced semantic matching and recommendation engines. With support for custom embeddings and scalable indexing, it can handle massive datasets efficiently. Users can quickly deploy search functionality into websites through widgets or APIs, enabling immediate improvements in user experience. Built-in tools allow for testing, refinement, and optimization of search performance over time. The system also supports generative AI applications by acting as a reliable data retrieval layer for chatbots and assistants. Overall, it transforms enterprise search into an intelligent, scalable, and highly customizable AI-powered experience.

Bind AI is an innovative AI-powered coding platform that unifies multiple advanced AI models such as Claude 4 Sonnet, GPT 4.1, and Gemini 2.5 Pro to deliver intelligent code generation, editing, and execution in one seamless environment. Supporting over 15 programming languages including Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran, Bind AI caters to a wide spectrum of development tasks from frontend UI creation with React, NextJS, and Tailwind CSS to backend scripting and database query automation. Its built-in Integrated Development Environment (IDE) offers powerful capabilities like live code editing, execution of Python and Java, HTML previewing, and easy debugging, all within the same interface. Bind AI’s deep integration with GitHub and Google Drive allows developers to sync codebases and files effortlessly, facilitating faster iteration cycles and smoother onboarding experiences. The platform excels at automating repetitive tasks such as generating boilerplate code, crafting API queries, and writing SQL queries, freeing developers to focus on more complex problems. With the option to choose from multiple AI models for different coding scenarios, users benefit from flexible, context-aware assistance. Bind AI offers a free 3-day trial to help developers explore the platform’s full potential before committing. It supports efficient collaboration and continuous development within a single subscription model. Designed for both individual developers and teams, Bind AI significantly reduces coding overhead while improving output quality. The platform stands out as a comprehensive solution that blends AI creativity with developer control.

Google's AI Mode in Search takes search capabilities to the next level by incorporating state-of-the-art generative AI to understand and respond to user queries in a conversational manner. By integrating AI that generates detailed, contextually relevant answers, AI Mode improves the quality and accuracy of search results. This transformation helps users find the information they need more efficiently, with personalized insights and recommendations based on their unique preferences and query history. AI Mode enhances the search experience by providing deep, comprehensive answers that go beyond traditional search engine results.