Agentic AI Comparison:
Cursor vs Google Antigravity

Cursor: 7

Cursor provides developer-controlled multi-agent parallelism with up to 8 agents, but emphasizes human guidance throughout the development process. While agents can work in parallel across isolated workspaces, the platform is designed for collaborative human-agent workflows rather than fully autonomous operation. Cursor maintains developer control as a core principle, requiring active participation in task direction and code review, which limits pure autonomy but enhances safety and predictability.

Google Antigravity: 9

Antigravity demonstrates exceptional autonomy through full multi-agent orchestration with centralized Agent Manager. The platform features agent-first automation with comprehensive task planning and execution capabilities. Agents can operate independently with detailed artifact generation (plans, screenshots, recordings), allowing extensive autonomous workflows without constant human intervention. The system can take complex multi-step actions autonomously, particularly excelling in E2E testing and browser interaction automation.

Cursor: 8

Cursor offers superior ease of use by building upon familiar VS Code architecture, requiring minimal adjustment for existing developers. The interface feels like an AI-powered enhancement to a standard IDE rather than a fundamentally new paradigm. Multi-agent functionality integrates naturally through the editor sidebar, and the emphasis on standard Git workflows and PR-based code review aligns with existing developer practices. Voice mode adds accessibility, and the overall UX is mature and battle-tested.

Google Antigravity: 6

Antigravity presents a moderate learning curve with its agent-first paradigm requiring developers to understand mission control concepts and agent management. The centralized Manager interface and separate workspace structures differ significantly from traditional IDE experiences. While the artifact system provides excellent visibility into agent actions, managing and orchestrating multiple agents requires conceptual adaptation. The platform is currently in public preview with reported bugs and extension instability, further impacting user experience for new adopters.

Cursor: 9

Cursor excels in flexibility through multiple strategic advantages: developers can choose from frontier models (OpenAI, Anthropic, Gemini, xAI) rather than being locked to a single provider, enabling optimization for specific use cases. The multi-agent parallel execution with isolated git worktrees provides flexible workspace management. Repo-aware intelligence with strategic indexing adapts to different codebases. The embedded browser and DOM inspection support diverse testing scenarios. Integration with standard Git workflows and CI/CD pipelines provides enterprise flexibility. Custom autocomplete and precise inline editing adapt to individual coding patterns and project conventions.

Google Antigravity: 8

Antigravity demonstrates high flexibility through its agent-first architecture with Planning Mode and Fast Mode for different workflows. The platform's broad tool access enables end-to-end automation including E2E testing, browser interactions, and comprehensive task orchestration. The artifact system provides flexibility in validation approaches, supporting both visual artifacts for non-technical review and detailed logs. Terminal access via agents and comprehensive browser integration expand automation possibilities. The Gemini 3 Pro foundation provides flexibility in model capabilities, though limited to Google's single model choice.

Cursor: 6

Cursor operates on a freemium model with Pro tier starting at $20/month, representing moderate ongoing costs for individuals and teams. While the pricing is competitive within AI-assisted IDE markets, it requires recurring subscription commitments. Enterprise adoption by teams like Coinbase suggests pricing supports premium tier options, though exact enterprise pricing is not detailed. For small teams or individual developers, monthly costs accumulate; for enterprises, costs scale with team size, making it a significant budgetary consideration.

Google Antigravity: 10

Antigravity offers exceptional cost value during its public preview phase with free access and no minimum payment requirements. Rate limits apply to prevent abuse, but active developers in preview access pay nothing. This represents the lowest barrier to entry for teams evaluating advanced agent-first development. While pricing structure for production use remains unclear post-preview, current accessibility is unbeatable for cost-conscious organizations or those conducting proof-of-concept evaluations.

Cursor: 9

Cursor demonstrates strong popularity with proven enterprise adoption from major companies including Coinbase. The platform has achieved significant market presence through battle-tested reliability, strong multi-agent capabilities, and VS Code familiarity. Active developer communities, comprehensive feature documentation, and positive comparisons in developer publications indicate high adoption rates. The combination of stability, proven performance, and accessibility has established Cursor as a leading choice in the AI-assisted IDE market. Widespread discussion across developer forums, blogs, and social platforms reflects substantial community engagement.

Google Antigravity: 5

Antigravity maintains lower popularity as a recently launched, public preview product from Google. While Google's brand recognition provides inherent credibility, the platform lacks the established user community and battle-tested adoption metrics of mature alternatives. Reported bugs, extension instability, and early-stage status limit widespread enterprise adoption. The platform generates significant interest and curiosity within developer communities due to Google's involvement and innovative agent-first approach, but adoption remains in exploratory phases rather than production-scale deployment.