In 2025, your choice of IDE is no longer just about syntax highlighting and debugging—it’s about how much of your development workflow you want to automate, delegate, and supercharge with AI. From the battle-tested Visual Studio Code to AI-first environments like Cursor, Kiro, and Google Antigravity, developers now have an ecosystem of tools that can understand, design, and even execute code on their behalf.
This post walks through what makes each of these environments unique, where they shine, and how to choose the right mix for your personal workflow or team stack.
Visual Studio Code: The Flexible Baseline
Visual Studio Code (VS Code) is a lightweight, cross-platform editor that has evolved into a de facto standard for modern development. It offers rich support for debugging, intelligent code completion, Git integration, extensions, and theming, all while remaining fast and highly customizable.
For most teams, VS Code is the baseline: a clean editor you can shape into a full IDE for virtually any language using its vast marketplace of extensions and built-in support for remote and web-based editing.
Cursor: AI-First Coding on a VS Code Core
Cursor is an AI-assisted IDE built as a fork of VS Code, adding deep AI integration on top of the familiar interface. It uses large language models to power advanced autocomplete, multi-line edits, refactors, and natural-language code generation while retaining VS Code’s layout and extension ecosystem.
Cursor understands your entire codebase, lets you “chat with your code”, and can rewrite or generate code across multiple files—making it feel like pairing with a senior engineer that knows your repository inside out.
Kiro: Spec-Driven, Agentic Development
Kiro is AWS’s agentic AI coding environment focused on spec-driven development. From a single prompt, it generates structured requirements, technical designs, data flow diagrams, TypeScript interfaces, database schemas, and API endpoints, then orchestrates tasks to implement those specs.
Built on Code OSS and compatible with VS Code settings and Open VSX extensions, Kiro layers features like Specs, Agent Hooks, Autopilot Mode, and MCP integration on top of a familiar editor, turning AI into a project-level collaborator rather than just a line-by-line assistant.
Google Antigravity: Agentic IDE with Cloud Models
Google Antigravity is an agentic IDE built as a fork of VS Code, tightly integrated with Google’s cloud models through Vertex AI and Google AI Studio. It maintains the VS Code-like experience but adds an AI agent that can write code, run tasks, manage workflows, and operate in different modes—agent-driven, agent-assisted, or review-only.
Antigravity emphasizes transparent, policy-driven automation, with task views, execution history, and permissions that make it clear what the agent is doing, while offering powerful features like tab autocompletion, natural language code commands, and workspace-aware context.
Feature Snapshot: VS Code vs Cursor vs Kiro vs Antigravity
| IDE | Base Platform | AI Depth | Ideal For |
|---|---|---|---|
| VS Code | Standalone editor / Code OSS with rich extension ecosystem | AI via extensions (e.g., Copilot), not built-in core | General-purpose development, scripting, web and cloud apps |
| Cursor | Fork of VS Code with added AI services | Code-aware chat, multi-file edits, smart rewrites, codebase Q&A | Developers wanting VS Code feel with powerful inline AI coding |
| Kiro | Built on Code OSS with VS Code compatibility | Spec-driven design, agent hooks, autopilot, MCP tools | Teams needing requirements-to-implementation automation on AWS |
| Antigravity | Fork of VS Code with Google cloud model integration | Agentic workflows, task system, natural language commands | Developers invested in Google’s AI stack and agent-driven workflows |
How to Choose the Right IDE for You
If you want a stable, extensible editor that you can gradually enhance with AI, VS Code remains the safest starting point, especially for polyglot teams or mixed workloads.
For AI-native workflows, consider Cursor when you want deep inline coding assistance, Kiro when you need spec-driven, system-level automation on AWS, and Antigravity when you prefer Google’s AI stack and policy-driven agent modes for complex projects.
Sources & References
Which IDE are you using today—VS Code, Cursor, Kiro, Antigravity, or a mix? Share your setup, favorite features, and pain points to help others choose the right AI-powered environment.
Have thoughts or want to discuss further? Connect with me on LinkedIn or explore more on my portfolio.
Until next time,
Sairam Maruri
Note: This article includes AI-assisted writing and manual curation. Use at your own risk.