Whether you are building a complex web app or just trying to automate a tedious script, Al-driven development has changed the workflow. Over the last thirty days, I pushed aside my standard VS Code workflow to live exclusively within the ecosystems of Cursor, Claude Code, and Google Antigravity.

While each tool promises to code for you, my 30-day deep dive reveals clear differences in their approach. If you are tired of the AI hype and just want to know which tool will actually help you ship cleaner code faster, I have a clear answer for you.

Cursor

Refined VS Code supercharger

Since Cursor is a fork of VS Code, the learning curve was visually zero. I simply imported my extensions, kept my keybindings, and was up and running in minutes.

But once I started using Composer, the difference became night and day. It didn’t feel like I had an LLM pinned into a sidebar; it felt like the editor finally understood my project.

The standout feature for me was the codebase indexing. In a typical IDE, AI often loses the plot when you ask about a function defined three folders away. In comparison, Cursor has knowledge of every file.

I could hit @Codebase and ask, ‘Where is the logic for the jewelry category filter handled?’ and it would instantly point me to the exact React code I needed.

The Tab-to-complete functionality also felt better than GitHub Copilot. It wouldn’t just finish my line, it would predict the three lines too. Cursor has nailed the UI and UX aspects as well.

However, it wasn’t all magic. There were moments where the predictive edit feature got a bit too aggressive. Overall, it’s the most comfortable daily driver for anyone who wants to spend less time navigating folders and more time solving problems.

👁 XDA
Quiz
8 Questions · Test Your Knowledge

Cursor, Claude Code & AI Dev Tools
Trivia Challenge

Think you know your AI coding assistants inside and out — put your knowledge to the test with this month-long deep dive!

CursorClaude CodeAI ToolsCodingProductivity
01 / 8Cursor

Which underlying technology does Cursor primarily build upon as its code editor foundation?

Correct! Cursor is a fork of Visual Studio Code, which means it retains full compatibility with VS Code extensions and keybindings. This makes the transition from VS Code to Cursor nearly seamless for most developers.
Not quite. Cursor is actually built as a fork of VS Code (Visual Studio Code). This gives it a familiar interface while layering powerful AI features on top, making it easy for existing VS Code users to adopt.
02 / 8Claude Code

Claude Code is developed by which AI company?

Correct! Claude Code is Anthropic's agentic coding tool, built on top of their Claude AI models. Anthropic was founded by former OpenAI researchers and has positioned Claude as a safety-focused AI assistant.
Not quite. Claude Code is made by Anthropic, not to be confused with OpenAI's products like Codex or GitHub Copilot. Anthropic focuses heavily on AI safety research alongside building powerful models like Claude.
03 / 8AI Tools

What does 'Google Antigravity' most likely refer to in the context of AI developer tools being tested alongside Cursor and Claude Code?

Correct! In the context of AI developer tool comparisons, Google Antigravity refers to an experimental or internally-branded AI coding assistant from Google. Google has been actively competing in the AI coding space alongside tools like Cursor and Claude Code.
Not quite. In developer tool testing contexts, Google Antigravity is used as a codename for an experimental AI coding assistant from Google. Google has been racing to compete in the AI-assisted development space with tools that rival Cursor and Claude Code.
04 / 8Cursor

Which AI model is Cursor's most advanced built-in option for code generation, as of its mainstream release period?

Correct! Cursor supports multiple top-tier models including GPT-4-class models and Claude models from Anthropic. Users can often switch between them depending on their task, with the most advanced options delivering the strongest code suggestions.
Not quite. Cursor integrates with frontier models like GPT-4-class and Claude models, giving developers access to some of the most capable AI available for coding tasks. It supports model switching, which is one of its competitive advantages.
05 / 8Productivity

When comparing AI coding tools over a month-long test, which metric is generally considered the MOST practical indicator of real-world usefulness?

Correct! Task completion accuracy with minimal human correction is the gold standard for evaluating AI coding tools in real workflows. A tool that generates plausible-looking but buggy code can actually slow developers down more than help them.
Not quite. While metrics like speed and language support matter, the most meaningful measure is how well a tool completes actual tasks without requiring significant correction. A slow but accurate tool often outperforms a fast but unreliable one in real-world use.
06 / 8Claude Code

Claude Code operates primarily as what type of interface, distinguishing it from GUI-based tools like Cursor?

Correct! Claude Code is designed as a terminal-based, agentic command-line interface tool. This means it can autonomously read files, write code, run commands, and iterate — all from within your terminal environment.
Not quite. Unlike Cursor's GUI editor experience, Claude Code works primarily as a terminal-based agentic CLI. This makes it powerful for developers comfortable on the command line, as it can autonomously perform multi-step coding tasks without a visual interface.
07 / 8AI Tools

What is a key risk when using AI coding assistants like Cursor or Claude Code for a full month of real development work?

Correct! One of the most documented risks of heavy AI coding assistant use is skill atrophy and reduced critical review — developers may begin to trust AI output too readily, allowing subtle logical or security bugs to slip through unnoticed.
Not quite. The real concern with prolonged AI tool use is cognitive over-reliance — developers may stop critically reviewing code as carefully, which lets logical errors or security vulnerabilities sneak through. This is a widely discussed tradeoff in the developer community.
08 / 8Coding

When Claude Code is given an 'agentic' task, what does this specifically mean in practice?

Correct! Agentic mode means Claude Code can autonomously chain together multiple actions — reading files, writing code, executing terminal commands, observing results, and iterating — without requiring a human prompt at each step. This is what separates agentic tools from simple chat-based assistants.
Not quite. When a tool is described as 'agentic,' it means it can autonomously plan and execute sequences of actions end-to-end. Claude Code can edit files, run tests, and fix its own errors in a loop — far beyond just answering a single coding question.
Challenge Complete

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Google Antigravity

Agent-first mission control

If Cursor is the refined daily driver and Claude Code is the high-performance terminal, Google Antigravity feels like the experimental tool straight from the future.

Unlike Cursor, Google Antigravity comes with a learning curve. The IDE is basically divided into three sections: the Editor, the Browser, and the Agent Manager. The latter is quite important, where you can monitor multiple agents working across different workspaces simultaneously.

My favorite feature is the Browser agent. While working on the ‘Swami Jewels’ site, I didn’t have to manually refresh or copy-paste console errors. I can see the AI navigate a dedicated Chrome page, click buttons, and confirm the UI layout.

When I told it to ‘ensure the jewelry category filter works on mobile view,’ it didn’t just write the CSS; it opened the browser, toggled the dev tools to a mobile viewport, and confirmed it worked before reporting back.

While Antigravity has nailed the automation, it turned out to be a resource hog on my MacBook Pro. I also ran into several annoying issues where the Agent Manager would lose connection for no reason.

If you are deep in the Google ecosystem and want a system that tackles tasks and not just lines of code, you can’t go wrong with Antigravity.

Claude Code

Agentic terminal-first architect

While Claude Code is a CLI-first tool, you can use it via the native desktop app as well. However, I realized that for certain tasks, the terminal is actually the superior interface for AI.

Instead of clicking menus, I was typing claude dev and letting the agent run wild. It doesn’t just suggest code; it acts as a collaborator that runs tests, reads terminal output, and fixes its own bugs in a tight loop without me having to copy-paste a single error message.

Anthropic hit it out of the park with a native Claude Code integration into the desktop app. The desktop app feels like a high-end mission control center.

It’s no longer just a command line, but a graphical interface that includes session management and a dedicated live preview that made my recent portfolio project feel effortless.

When I decided to build a new portfolio site to showcase my tech writing, I pointed Claude at a blank directory and let it run. In the desktop app, I didn’t have to keep switching to a separate Chrome tab to see if my Tailwind classes were actually working.

As I asked for tweaks like ‘make the hero section more aggressive,’ I could watch the site update in real-time.

With Claude Code, I had to be very specific with my prompts to get the desired results.

One month, three AI editors

After thirty days of pushing these tools to their limits, one thing is certain: the best AI code editor depends on your specific workflow. Let me clarify the situation for you.

Cursor remains the gold standard for those who want a seamless ‘it just works’ transition from VS Code. It offers the most polished codebase indexing and a UI that feels like home.

Claude Code is a dream for the minimalist power user — those who prefer the speed of the terminal and demand the highest level of logical reasoning without the fluff of a heavy UI.

And then we have Google Antigravity, which has created a unique space for those invested in the Google ecosystem. It offers a predictive context that feels like it’s one step ahead of your next move.

Overall, your choice should depend on your technical expertise and how much control you are willing to give to the machine. For a hobbyist like me, Antigravity is the best bet.

Google Antigravity

Google Antigravity is Google’s agentic development platform: an AI-powered IDE that lets developers delegate coding tasks to autonomous agents that can work across the editor, terminal, and browser.