Hello, my name is Alex, and I am a Developer Relations Engineer, usually based from Waterloo, Canada. And I'm Rodi. I'm also a Developer Relations Engineer, and I'm based out of San Francisco.
Let's start with the basics. What is antigravity and why should you care? There are many different ways to build with AI, but the harness, the tools, and the model can make a really big difference. With antigravity, the best of Google tools are coming together to create a unified harness and a powerful coding agent.
Instead of the coding agent just living inside of your IDE, your agent lives across multiple surfaces that the developer might spend time on. We include an agent manager. This is your simple hub, an agent-first view with a higher-level view than your code and your projects. It focuses on orchestrating multiple agents running across your code base. It has a single unified agent manager, and you can work across all your projects across your entire machine.
We also have an AI editor with all the bells and whistles that you're familiar with. It's a VS Code-based interface. It has a lightning-fast autocomplete, as well as a tab-complete model. It has an agent sidebar, where you can be able to have multimodal input and do so much more. And at any point, you can hit Command-E or the equivalent on Windows to get back to the agent manager and going back to the editor. There's also the agent-controlled Chrome browser, which lets you give the agent access to the richness of the web, and not only the context over specific things like the images and things being rendered, but you can also do complex things like have it complete tasks for you and be able to fill out forms, as well as to be able to run your automation tests.
Let's start. But before we get started, we need to install antigravity, which is very straightforward. You either download and follow the prompts for your system, or if you're like me, you just send that brew install antigravity command and grab a coffee. Then go through the installation onboarding wizard, sign in, and you are done. However, there is one step I like to spend some time on. The important thing for us to decide is the level of autonomy we'll give to the agent. You'll want to balance convenience versus control. Also, remember that better safe than sorry, so make sure you follow a few best practices. One, start defensively. Increase automation over time. And two, take your time to get comfortable with each model, each sub-agent, and each task. Three, keep sandbox enabled and only disable it if absolutely necessary.
Comments