Antigravity IDEvsCline

Google's AI-first integrated development environment built on VS Code with tri-modal autocomplete, inline code lenses, and autonomous agent pairing.

Antigravity IDE is Google's flagship AI-first integrated development environment designed to rethink software engineering around frontier machine intelligence. Built upon a hardened VS Code architecture, the platform preserves full compatibility with standard developer extensions, keybindings, and themes while introducing deep native integration for autonomous agentic workflows.

Autonomous open-source VS Code extension that edits code, runs terminal commands, and creates files with user approval.

Cline (formerly Claude Dev) is an open-source autonomous agent for VS Code that reads codebases, writes files, runs shell commands, and iterates on errors with your permission. Engineered to streamline complex operational demands, the platform couples targeted domain models with modern user interfaces to reduce repetitive overhead and enforce consistent results.

• Tri-Modal AI Interaction Architecture: Unifies passive tab completion, instructive inline refactoring, and collaborative agent execution. Developers can move from rapid single-line syntax suggestions to comprehensive feature planning with a single keystroke. The system automatically selects the ideal interaction surface based on developer intent and context.
• Antigravity Tab & Supercomplete: Predicts developer intent, anticipates navigation jumps, and suggests multi-line diffs across open editor buffers. It automatically detects new dependencies and injects required import statements at the top of the file. The predictive model operates with near-zero latency to keep developers firmly in flow state.
• Visual Diff Overlays & Diagnostic Auto-Fixing: Renders inline red and green side-by-side diff markers directly inside the code canvas for instant change auditing. The engine hooks into compiler warnings and linter errors to automatically generate and apply verified repairs in real time. Developers maintain total oversight before committing modifications.
• Deep Workspace Scoped Customization: Natively discovers project rules, custom skills, and plugins from the local project repository. It dynamically loads Model Context Protocol (MCP) servers to interact directly with databases, documentation systems, and cloud APIs. Team members share uniform agent capabilities simply by version-controlling workspace configurations.

• Human-in-the-loop Safety: Prompts for permission before executing terminal commands. Engineered for high throughput, it integrates into daily AI coding & development workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Connects to Any: LLM via Anthropic API, OpenRouter, or local Ollama models. Engineered for high throughput, it integrates into daily AI coding & development workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Autonomous Test Execution: And debugging loop. Engineered for high throughput, it integrates into daily AI coding & development workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

• Tri-modal AI interaction flawlessly balances autocomplete, inline edits, and autonomous agents
• Full drop-in compatibility with the entire VS Code extension and theme marketplace
• Superb visual diff overlays and one-click diagnostic auto-fixes

• Completely free and open-source with no platform markup
• You choose which LLM powers it (Claude 3.5 Sonnet, DeepSeek-R1)
• Strict safety approval controls

• Requires graphical desktop environment; not built for pure headless terminal sessions

• Requires bringing your own API keys