Build With Google Antigravity Our New Agentic Development Platform

Bonisiwe Shabane
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build with google antigravity our new agentic development platform

Development is lifting off. The tools of yesterday focused on helping you write code faster; the tools of tomorrow need to help you orchestrate it. Today, we’re introducing Google Antigravity, a new agentic development platform designed to help you operate at a higher, task-oriented level. Antigravity isn't just an editor—it's a development platform that combines a familiar, AI-powered coding experience with a new agent-first interface. This allows you to deploy agents that autonomously plan, execute, and verify complex tasks across your editor, terminal, and browser. We built Antigravity because we believe agents shouldn't just be chatbots in a sidebar; they should have their own dedicated space to work.

The platform introduces two distinct ways to interact with your code: Antigravity allows you to offload end-to-end tasks that previously required constant context switching. Here are three ways you can apply it to your daily development: Delegating work to an agent requires trust, but scrolling through raw tool calls is tedious. Antigravity solves this by having agents generate Artifacts—tangible deliverables like task lists, implementation plans, screenshots, and browser recordings. In Episode #17 of the Agent Factory podcast, we step away from the purely theoretical and get our hands dirty with the latest developer tools from Google.

Together with Vlad, we take a deep dive into Antigravity and Nano Banana Pro, demonstrating how to build AI agents that bridge the gap between code generation and high-fidelity media. This post guides you through the key ideas from our conversation. Use it to quickly recap topics or dive deeper into specific segments with links and timestamps. Antigravity is Google’s new agent-first development application. It is designed as a multi-window IDE that uses Gemini 3 under the hood to manage complex, asynchronous coding tasks. Unlike a standard text editor, Antigravity features a dedicated Agent Manager view where developers can interact with agents through planning modes, artifact reviews, and built-in browsers for live UI testing.

The model behind our slide generator is Nano Banana Pro (the technical name is Gemini 3 Pro Image model). What sets Nano Banana Pro apart is its ability to "think" before it creates. It uses Google Search grounding to retrieve real-time data, like current weather or live stock charts, and integrates that information into the generated image. The Factory Floor is our segment for getting hands-on. Here, we moved from high-level concepts to practical code with live demos. Google Antigravity is Google’s free AI-powered IDE that lets developers build software using autonomous agents instead of writing code line by line.

Powered by Gemini 3 Pro, it features an Agent Manager for orchestrating tasks, a built-in browser for testing, and support for multi-agent collaboration. This guide shows you how to install Google Antigravity, set up the Agent Manager, and build your first project using agent-driven development. Released in November 2025, Google Antigravity represents a shift from traditional manual coding to an agentic development platform where AI handles complete workflows. Unlike traditional coding assistants that only provide autocomplete suggestions, Google Antigravity enables true agent-first development where autonomous agents can plan entire projects, write code across multiple files, test applications, and debug issues automatically. The platform is built on a foundation similar to Visual Studio Code, so the interface feels familiar, but Antigravity introduces several new components, like: Multiple agents can collaborate on a single task.

For example, one agent may generate code while another tests functionality or performs refactoring. This model is optimized for code reasoning, comprehending large contexts, and multi-step planning. All agentic operations rely heavily on it. Here’s more detail on the other models it’s using as of now (November 20, 2025). 10:15 am January 20, 2026 By Julian Horsey What if you could delegate your most tedious tasks to a team of AI agents, each working in perfect harmony to get the job done?

That’s the promise of Google’s Antigravity, an advanced platform redefining how we approach coding, automation, and workflow management. In this breakdown, World of AI walks through how Antigravity’s multi-agent systems and AI-driven features can simplify even the most complex projects, from automating data entry to orchestrating multi-step workflows. Built on the powerful Gemini 3 framework, this platform holds the potential to transform your productivity, but only if you know how to unlock its full capabilities. Whether you’re a developer or a professional juggling repetitive tasks, understanding how to use Antigravity could be the key to reclaiming your time and energy. This step-by-step guide will show you how to tap into Antigravity’s most innovative features, like real-time task visualization, web-based automation, and customizable workflows. You’ll discover how to coordinate specialized AI agents to tackle intricate processes with precision, while also learning how to tailor the platform to your unique needs.

From managing large datasets to streamlining online tasks, Antigravity offers a level of flexibility and efficiency that’s hard to match. By the end, you’ll not only grasp the basics but also gain insights into how this platform can transform the way you work. The possibilities are as exciting as they are endless, what will you create with it? Antigravity distinguishes itself from traditional IDEs by integrating innovative AI tools that simplify complex tasks. At its foundation, the platform uses multi-agent systems and advanced task execution models, including Gemini 3 Pro and Sonnet 4.5. These systems empower users to delegate tasks to specialized agents, making sure both precision and efficiency in execution.

Some of the standout features include: These features make Antigravity a versatile and powerful tool, whether you are managing simple automations or tackling complex, multi-layered projects. The software development industry stands at a precipice. For the last decade, the Integrated Development Environment (IDE) has remained largely static—a sophisticated text editor that reacts to human input. Even the recent wave of AI tools, such as GitHub Copilot and Cursor, have functioned primarily as intelligent typewriters, predicting the next few tokens based on the previous few lines. We call this "Generation 1" AI: the era of the super-charged autocomplete.

Today, we are witnessing the dawn of "Generation 2": the Agentic Era. The release of Google Antigravity marks a fundamental divergence in how software is conceived and constructed. It is no longer about writing code faster; it is about orchestrating a workforce of digital agents to build software for you. At Baytech Consulting, our mission is to deliver a "Tailored Tech Advantage." We do not merely adopt trends; we rigorously stress-test them to separate genuine efficiency gains from dangerous distractions. Our clients—Visionary CTOs, Strategic CFOs, and Heads of Sales—are asking the same question: Is this the tool that finally breaks the linear relationship between developer hours and software output? This comprehensive report provides the definitive answer.

We have analyzed Google Antigravity down to its architectural bones, comparing it against the industry standard Visual Studio Code, evaluating its compatibility with enterprise stacks like Azure DevOps, and assessing its readiness for the... The verdict is nuanced. Antigravity acts as a powerful "force multiplier" for rapid prototyping and greenfield development, leveraging the multimodal reasoning of the Gemini 3 model. However, it introduces significant friction for enterprise teams entrenched in the Microsoft ecosystem, creating a "walled garden" dilemma that requires careful strategic navigation. We’re so glad you’re here. You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game.

Check your inbox for a confirmation email where you can adjust your preferences and even join additional groups. Follow TNS on your favorite social media networks. Check out the latest featured and trending stories while you wait for your first TNS newsletter. Google today launched Antigravity, its latest experiment in building an agentic development platform. Powered by the new Gemini 3 model, Antigravity combines what has become a pretty standard AI-centric IDE with a few innovations that, according to Google, evolve the IDE “towards an agent-first future.” Antigravity is a new AI-powered IDE that doesn’t autocomplete—it executes multi-step coding tasks autonomously.

Developers oversee, verify, and guide, while agents handle scaffolding, testing, and debugging. This shifts the focus from coding speed to system architecture and agent orchestration. On an ordinary Tuesday of November the 18th, Google shipped something that didn't feel ordinary at all. Antigravity—an agentic development platform powered by Gemini 3 Pro. It isn't a code completion tool with a nice UI. It's not a Cursor with extra features.

It's genuinely different—an IDE built for agents, not autocomplete. Antigravity is an AI tool that understands your entire task and handles multiple steps automatically. You tell it 'build a login form with database connection,' and it creates HTML, backend code, validation, tests, and fixes bugs—all without you writing line-by-line code. Here's what this means for teams hiring and building in 2026. Google has introduced Google Antigravity, an agentic development platform that coincides with the release of its Gemini 3 model. This AI-first Integrated Development Environment (IDE) aims to provide a more task-oriented level of development.

This article offers a neutral examination of Google Antigravity, its core features, and its potential place in the evolving landscape of software development tools. Google Antigravity is positioned as a tool for an "agent-first future." 1 This approach emphasizes collaboration with intelligent agents that can autonomously plan and execute software tasks. The platform allows these agents to operate across the developer's editor, terminal, and browser, aiming to create a more unified workflow. 2 Antigravity includes several features designed to facilitate an agent-driven development process. A notable feature in Antigravity is the use of "Artifacts." As agents work, they generate evidence such as task lists, implementation plans, screenshots, and browser recordings.

3 This system is intended to provide a clear record of the agent's actions, aiming to increase transparency in the development process. While developed by Google and powered by Gemini 3 Pro, Antigravity is not limited to a single model. It also supports Claude Sonnet 4.5 and OpenAI's GPT-OSS, providing users with a choice of different AI models. 3

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