Parth Shah compares Claude Code, Antigravity, and Codex: which one is the favorite?

The source of this analysis is XDA Developers, where Parth Shah shares his one-month experience using Claude Code, Google Antigravity, and Codex in real development environments. The following details explain why Google Antigravity is his preferred tool, although each agent has its specific role.

The essence of the comparison lies in how each tool integrates into the programming process: while Claude Code is like a senior developer deeply understanding the project, Codex is an efficient machine for large-scale repetitive tasks, and Antigravity manages to combine manual control and autonomy within a familiar environment.

The three artificial intelligence agents in detail

Claude Code: the senior developer who listens

Claude Code stands out for its ability to understand the project as a whole, exploring files, folder structure, and executing commands directly in the terminal. It not only proposes lines of code but also acts and reasons about the actions it takes, enabling very transparent interaction in the process of fixing bugs and implementing new features.

A strong point is that it helps find lost functions in large projects and performs complex refactorings across multiple files. In a project creating a personal website with detailed instructions, Claude Code built a very solid foundation on the first attempt.

However, it has limitations such as high cost and intensive token consumption, since it needs to read a lot of context. It may also be less accessible to those who prefer visual environments since it is terminal-based.

Google Antigravity: the balance between autonomy and control

Google Antigravity presents itself as an "agent-first" development platform that integrates very well with the Visual Studio Code environment. Its IDE acts as a command center for autonomous agents that can simultaneously work on different parts of a project, a feature called Mission Control.

This feature allows delegating simultaneous tasks like refactoring APIs, writing unit tests, or consulting documentation, all without losing manual control of the code. It also includes an integrated browser that visually checks whether modifications work in the interface, a detail that elevates its usefulness.

Some drawbacks include performance and stability issues during use, but not enough to discard the tool. Its great virtue is allowing a combination of automation and human intervention within the same workflow.

Codex: the efficient machine for massive tasks

Codex, from OpenAI, excels at batch processes and parallel work. It is ideal for updating obsolete API calls, writing tests, or adjusting styles across multiple files simultaneously, working in branches or separate environments.

Its strength is consistency in existing code style and the ability to handle large volumes of work without constant intervention. It is perfect for maintenance tasks and generating pull requests ready for review.

But when it comes to fine-tuning designs or interpreting complex creative nuances, Claude Code remains ahead.

Comparison and recommendations according to Parth Shah

Choose according to the workflow

The decision of which agent to use is not a battle where one always wins, but rather a matter of adapting to the specific needs of the developer and the project. Claude Code is the most suitable when deep context is needed and creating from scratch with a detailed understanding of the project.

Codex is the most effective option for automating maintenance and parallel tasks that do not require much creative oversight.

Why Google Antigravity is the preferred one

Antigravity wins because of its ability to unite agent autonomy with the classic IDE interface, offering an experience where you can delegate and control at the same time. This combination reduces friction between writing code, delegating functions, and reviewing results, without leaving a familiar environment.

How to activate and take advantage of Google Antigravity

Who benefits most

Developers who want a tool integrated into their usual environment and that allows working with autonomous agents without losing manual control. Ideal for projects with multiple parallel tasks and constant review needs.

Steps to use Antigravity

• Download and install the Google Antigravity extension for Visual Studio Code.
• Open your project in VS Code and access the Mission Control tab.
• Add agents and assign them specific tasks, such as refactoring code or writing unit tests.
• Use the integrated browser to visually validate changes in the application.
• Manually intervene in lines of code while other agents work in parallel.

How to check if your project would benefit from this agent

• Are you working on a complex project with multiple files and dependencies?
• Do you need to automate tasks but want to supervise or manually intervene at key moments?
• Do you prefer an integrated visual environment to manage autonomous agents?
• Are you looking for a tool that can execute and validate changes without leaving your IDE?

Tips to stay safe and productive with AI agents

Always update tools and extensions to their latest versions to avoid bugs and improve performance. Enable two-factor authentication (2FA) to protect your environments and accounts. Periodically review the permissions you grant to tools and make constant backups of your code. If you notice unexpected behavior, consult specialists or recognized forums.

The reality is that these tools can revolutionize development, but only if used with awareness and control.