techniqueintermediateGeneral AI

Comparison of IDE-Based Agentic Coding Tools: Cursor vs. Windsurf vs. Google Antigravity

This comparison reviews three popular AI coding assistants that integrate directly into a developer's editor: Cursor, Windsurf, and Google Antigravity. It highlights their performance on coding benchmarks, unique features like parallel agent processing, and pricing to help you choose the best tool for your team's budget and technical needs.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Apply Technique: Comparison of IDE-Based Agentic Coding Tools: Cursor vs. Windsurf vs. Google Antigravity

## What This Is
This comparison reviews three popular AI coding assistants that integrate directly into a developer's editor: Cursor, Windsurf, and Google Antigravity. It highlights their performance on coding benchmarks, unique features like parallel agent processing, and pricing to help you choose the best tool for your team's budget and technical needs.

Source: https://dev.to/pockit_tools/cursor-vs-windsurf-vs-claude-code-in-2026-the-honest-comparison-after-using-all-three-3gof

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)

Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?

## Source Access Note

The source URL (https://dev.to/pockit_tools/cursor-vs-windsurf-vs-claude-code-in-2026-the-honest-comparison-after-using-all-three-3gof) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **AI Technique** — a pattern or methodology for working with AI models.

- Explain how this technique applies to my current project and what benefit it provides
- Implement it in a way that fits my existing codebase — suggest concrete files to modify or create
- If it requires specific model capabilities (structured output, function calling, etc.), verify my current provider supports them
- Show me a working example I can test immediately

## Additional Context

- Scan the user's current project directory to understand the primary development tasks (e.g., front-end UI, backend API, data science, multi-file refactoring).
- Based on the project analysis, evaluate the recommendations from the article. If the user's work involves complex, multi-file changes across the codebase, suggest Curso or Google Antigravity. If cost is the primary driver, recommend Windsurf.
- Offer to generate a setup script to install the chosen VS Code fork (Cursor, Windsurf, or Antigravity) and automatically migrate the user's existing VS Code extensions and settings to the new IDE.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

3,214 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Scan the user's current project directory to understand the primary development tasks (e.g., front-end UI, backend API, data science, multi-file refactoring).
02Based on the project analysis, evaluate the recommendations from the article. If the user's work involves complex, multi-file changes across the codebase, suggest Curso or Google Antigravity. If cost is the primary driver, recommend Windsurf.
03Offer to generate a setup script to install the chosen VS Code fork (Cursor, Windsurf, or Antigravity) and automatically migrate the user's existing VS Code extensions and settings to the new IDE.

FIELD OPERATIONS

Parallel Agent Code Generation Pipeline

Develop a custom code generation pipeline using a framework like LangGraph or CrewAI that mimics Google Antigravity's parallel agent approach. One agent writes the core logic, a second agent writes unit tests, and a third agent documents the code, all working concurrently on the same feature to speed up development.

Local Agent Performance Benchmarker

Create a local benchmark runner that executes a common coding task (e.g., adding a new API endpoint and its tests) using different AI coding tools. The runner should measure completion time, code quality metrics, and adherence to project-specific coding standards to provide an empirical comparison for tool selection.

STRATEGIC APPLICATIONS