Google Antigravity vs Augment Code Intent
Which one should you pick? Here's the full breakdown.
Google Antigravity
Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork
Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)
Augment Code Intent
Spec-driven multi-agent orchestration for code -- coordinator + implementor agents in isolated git worktrees + verifier. Works with Augment's Auggie, Claude Code, Codex, and OpenCode. Public beta 2026-02-10
| Category | Google Antigravity | Augment Code Intent |
|---|---|---|
| Ease of Use | 8.0 | 7.0 |
| Output Quality | 8.5 | 8.0 |
| Value | 6.0 | 8.0 |
| Features | 9.5 | 9.0 |
| Overall | 8.0 | 8.0 |
Pricing Comparison
| Feature | Google Antigravity | Augment Code Intent |
|---|---|---|
| Free Tier | Yes | No |
| Starting Price | $0 | Included in Auggie subscription |
Which Should You Pick?
Pick Google Antigravity if...
- ✓Easier to use (8 vs 7)
- ✓Has a free tier
Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.
Visit Google AntigravityPick Augment Code Intent if...
- ✓Better value for money (8/10)
Engineering teams already using Augment Code's Auggie or running mixed Claude-Code + Codex workflows who want higher-level orchestration than writing LangGraph graphs from scratch. Also teams that want git-worktree-isolated parallel agent work with a verifier in the loop.
Visit Augment Code IntentOur Verdict
Google Antigravity and Augment Code Intent are extremely close overall. Your choice comes down to specific needs -- Google Antigravity is better for developers working on large, multi-file projects who want to parallelize their workflow, while Augment Code Intent works best for engineering teams already using augment code's auggie or running mixed claude-code + codex workflows who want higher-level orchestration than writing langgraph graphs from scratch.