Comparative Review of AI IDEs Cursor and Google Antigravity
A month-long hands-on review compared the AI-native code editors Cursor and Google Antigravity. Cursor was noted for its code quality and agent orchestration, but criticized for a steeper learning curve. Google Antigravity was praised for its user-friendly onboarding and adaptive suggestions, making it more accessible for technical prototyping by creative professionals.
Cursor is an AI-native code editor built as a fork of VS Code, designed to act as an always-on pair programmer. It uses models like OpenAI's GPT-4 and Anthropic's Claude 3.5 Sonnet to understand the entire codebase, enabling it to handle complex tasks across multiple files. This deep project context allows developers to build features, refactor code, and debug with natural language prompts. Google Antigravity, announced on November 18, 2025, alongside Gemini 3, represents a shift from AI assistance to an "agent-first" paradigm. It operates as a platform for orchestrating autonomous AI agents that can plan, code, and test with minimal human intervention. The platform is a heavily modified fork of VS Code, and its development was reportedly led by the team from Windsurf, a startup Google acquired for $2.4 billion. The rise of these tools fuels the conversation around human-AI co-creation, moving beyond simple automation to a partnership that enhances creativity. The goal is to let AI handle repetitive and complex tasks, freeing developers to focus on higher-level system architecture and problem-solving. This collaborative approach requires designing workflows where humans provide strategic direction and ethical judgment, while AI handles technical optimization and scale. This new dynamic raises questions about authorship and agency in creative and technical work. As AI's role shifts from a passive tool to an active collaborator, frameworks are needed to manage this partnership effectively. This involves breaking down tasks, assigning roles to both human and AI based on their strengths, and fostering a process of collective learning to improve joint creativity over time. Antigravity supports multiple AI models beyond Google's own, including Anthropic's Claude and open-source versions of OpenAI models. It features a bifurcated interface: a familiar "Editor" view for coding and an "Agent Manager" for orchestrating multiple AI agents working in parallel. The platform is available as a free public preview for personal Gmail accounts on Windows, macOS, and Linux. Cursor offers features like an AI agent mode for multi-file tasks, intelligent autocompletion, and a "Privacy Mode" to keep code local. For teams, it provides centralized billing and usage analytics. While powerful, it has a learning curve and is best suited for experienced developers who can provide clear, high-context instructions to the AI. The broader trend sees AI assistants becoming more specialized. Tools like Tabnine focus on privacy with self-hosted models, while CodeGPT offers specialized agents for tasks like pull request reviews. Amazon's Q Developer integrates deeply with AWS, and JetBrains AI Assistant is built specifically for its own family of IDEs. This signals a move toward a multi-tool reality where developers choose platforms based on specific project needs and existing workflows. Ultimately, the evolution from AI-assisted to AI-autonomous coding is reshaping software development. While tools like Cursor accelerate individual developer productivity, platforms like Antigravity explore a future where development is about managing a team of AI agents. This requires a shift in skills toward prompt engineering, system design, and the critical evaluation of AI-generated work.