I have been using Antigravity since the earlier versions when the experience was much closer to a traditional IDE workflow similar to VS Code. After the latest updates, especially the transition to the new agentic workspace system, the overall development experience feels significantly less transparent and harder to control.
Main Problem
The AI now performs many actions behind the scenes without giving developers enough visibility into what is happening internally.
Previously, it was easier to:
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Track file changes in real time
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Review generated code directly
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Understand the reasoning behind modifications
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Monitor terminal commands and execution flow
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Maintain architectural control over the project
Now, much of the process feels abstracted away into a background autonomous system.
Why This Is a Problem
For developers who care about code quality, architecture, debugging, and learning, this workflow introduces several issues:
1. Reduced Code Review Visibility
The AI can modify multiple files, install dependencies, or restructure code without providing a clear and reviewable workflow.
This makes:
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debugging harder,
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auditing changes slower,
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and maintaining long-term code quality more difficult.
2. Loss of Developer Control
The product now feels more like a fully autonomous coding environment rather than an AI-assisted IDE.
Many developers do not want a system that completely takes over development tasks. Instead, they want:
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transparent assistance,
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visible diffs,
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editable reasoning,
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and direct interaction with the generated code.
3. Hidden Background Operations
A major concern is that many actions happen silently in the background:
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planning,
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execution,
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refactoring,
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environment changes,
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and command execution.
This creates uncertainty about:
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what exactly changed,
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why it changed,
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and whether the generated output is reliable.
4. Harder Learning Experience
One of the best aspects of AI-assisted coding tools is the ability to learn while building.
When the AI operates mostly behind the scenes, developers lose visibility into:
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implementation details,
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design decisions,
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and problem-solving approaches.
This reduces the educational value of the platform.
What Many Developers Actually Want
Most advanced users are not asking for a fully autonomous black-box system.
They want:
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AI-assisted development,
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not AI-hidden development.
A better balance would include:
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clearer diff visualization,
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optional live generation mode,
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visible reasoning steps,
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terminal transparency,
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better review workflows,
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and tighter integration with familiar IDE behavior.
Final Thought
The new update may improve automation and speed for some users, but for many developers it reduces transparency, trust, and maintainability.
AI coding tools become far more powerful when developers remain fully aware of what the system is doing, rather than being separated from the actual implementation process happening behind the scenes.