Google Antigravity

✅ What is Google Antigravity

• Google Antigravity is an 'agent-first' AI programming environment (IDE + agent orchestration tool) released/public preview by Google in November 2025
• Its positioning is not as a traditional 'AI only provides code completion/suggestions' auxiliary tool, but rather gives AI agents (intelligent agents) higher autonomy - enabling them to plan tasks (plan), execute code (write/run), test & verify (test/verify), thereby automating many processes in software development.
• It supports multiple large language models (LLMs), including not only Google's own Gemini 3 Pro, but also models like Claude Sonnet 4.5 and open-source GPT‑OSS.
• Google claims that it is currently in a free preview stage (public preview), free for individual developers, and provides 'generous quotas/rate limits'.

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🔧 Main Features & Working Methods

Antigravity's design and functionality are significantly different from ordinary IDE + AI plugins - it's more like using AI as 'collaborative developers/assistant teams'. Main features include:

• Two Views

  • Editor View: An editor interface similar to traditional IDEs (such as VS Code), with tabs, AI auto-completion/natural-language commands, and code editing functions. Developers can write and debug code in familiar ways.([Google Developers Blog][2])
  • Manager View (Agent Manager): A 'task/agent management console (dashboard)'. You can simultaneously start/manage multiple AI agents, having them responsible for different tasks - for example, one agent writes frontend code, one writes backend, one runs tests, etc. Allows parallel, multi-agent collaboration.

• Cross-surface operations
  Agents don't just generate code: they can control the editor, terminal, and even the browser - meaning they can write code → install dependencies → start applications → run & test in browser → automatically check/screenshot/browse, completing the entire process from 'writing code' to 'verification & testing'.

• Artifact output & verification mechanism
  Rather than treating all AI operations as black boxes (tool-calls/raw log), Antigravity leans more towards 'verifiable & reviewable results (artifacts)' - such as task lists, implementation plans, code diffs, test results, screenshots/browser recordings/runtime logs, etc. This allows users to 'see/review' what the agent has done, rather than blindly trusting what AI does in the background.

• Multi-language & cross-platform support
  Supports mainstream programming languages (as long as they are supported in similar VS Code environments) - JS/TS, Python, Java, C++, Go, Rust, PHP, Ruby, etc.
  Supports mainstream operating systems: Windows, macOS, Linux.

• Free + public preview
  In the current stage (public preview), Google provides free access, suitable for individual trials or open source/experimental projects.

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🎯 Potential Value for Developers/Teams

For your current background/projects (you work with Flutter + Web + backend + SQLite / GitHub Actions / Cloudflare, etc.), Antigravity's approach of 'agent-first + end-to-end automation + multi-agent collaboration + reusable & reviewable artifacts' may bring the following benefits:

• Save repetitive work - For example, automatically generating backend interfaces, database operation code, scaffolding, then running tests/verification, reducing the need for handwritten boilerplate.
• Rapid prototyping + multi-language integration - You may be involved in frontend (Flutter/Web), backend (Cloudflare Worker/API), and database (SQLite) simultaneously - Antigravity's multi-language, multi-environment support could help you quickly write & debug in a unified environment.
• Collaboration/division of labor automation - If you have multiple modules (frontend/backend/infra/automation scripts) - you can have different agents responsible for different tasks, such as one agent managing infra scripts (CI/CD), one handling frontend UI, another handling backend logic, coordinated by the manager.
• Enhanced code review/reviewability - Through artifacts, diffs, automatic testing/verification + recordings/logs, making it easier for teams to review what the agent has done, code quality, and whether expectations are met.

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⚠️ Risks & Limitations / Issues to Note

However, Antigravity is currently not perfect/universal, with several aspects worth your careful consideration:

• Security/risks - Security researchers have pointed out that shortly after its release, vulnerabilities were discovered - malicious code could be injected by agents or scripts, thereby gaining user system permissions, installing malware or backdoors.
• New product/stability/Bugs - As a newly released tool/public beta version (public preview), there may be bugs, instability, or agent automation behavior not completely reliable (such as inappropriate file changes, erroneous automatic refactoring, test failures, generating poor-quality code, etc.) - this has been reflected in some user experiences/reviews.
• Privacy/data/training - Although supporting multiple models (not just Google's own models), after all, agents may submit some interaction data/code snippets to models/servers (depending on specific settings). For closed-source/sensitive/private projects, there may be privacy/leakage concerns.
• Still requires human supervision/review - Although highly automated, agents don't always perform perfectly. You still need manual review of artifacts/code diffs/test results generated by agents to ensure correctness/security.