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Google Antigravity

Free

Advanced agentic AI coding assistant designed by Google DeepMind for autonomous software development and pair programming.

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Ratings and usage stats are not tracked here — see the vendor for current figures.

About Google Antigravity

Google Antigravity is a next-generation AI agent that operates directly on your local codebase. Armed with terminal execution, precise multi-file replacement tools, and dynamic planning models, it assists developers in research, code modification, debugging, and verification tasks in a highly structured way.

Key Features

  • Advanced planning & tracking (implementation plan, task, walkthrough)
  • Specialized subagents orchestration (define & invoke subagents)
  • Precise multi-file diff and replacement engines
  • Sandbox execution with hierarchical permission gating
  • Dynamic goal-oriented task runners

Pros

  • +Complete software development lifecycle automation
  • +Highly safe sandboxed filesystem and terminal access
  • +Context-saving subagent background concurrency
  • +Native ripgrep search and file chunk replacements

Cons

  • −High token cost for long planning loops
  • −Requires developer oversight on critical system commands
  • −Currently tailored for terminal and agentic CLI interfaces

Alternatives

claude codecursorwindsurf

The Complete Google Antigravity Guide Series

From first install to cost tuning — a hands-on playbook for autonomous software development.

→Start here: install Antigravity, set API keys, and run your first /goal task in 7 steps→Write custom rules (agents.md, .rules) with strict mode and allow lists→Cost & latency estimates for Antigravity tasks + how to measure your own project→How multi-file refactoring stays safe across 47 files without breaking the build→Cut agent token costs up to 90% with Gemini context (prompt) caching→Orchestrate parallel subagents on isolated branches for large codebases

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