Google's recent release of Antigravity, an AI-powered IDE, has generated significant buzz in the developer community. Promising innovative features like interactive planning mode and deep integration with its next-gen Gemini 3 model, it aims to challenge established players like VS Code with GitHub Copilot. However, early adopters have shared a wave of feedback that paints a picture of a powerful tool with great potential, currently held back by a series of frustrating bugs, unclear policies, and workflow limitations.

Here's a breakdown of the key issues users are facing and the community-sourced solutions they've discovered.

The First Hurdle: Unable to Sign In

By far the most common complaint is the inability to sign in to Antigravity. This show-stopping issue prevents many users from even trying the IDE, as they get stuck on the initial setup screen and are effectively locked out.

The problems include:

  • Stuck on "Setting Up Your Account": Users successfully authenticate with Google, only to be left on an indefinite loading screen.
  • Regional Blocks & Server Overload: Many users in the U.S. report being unable to log in, while others are met with HTTP 429 (Too Many Requests) errors, suggesting servers are overwhelmed.
  • Google Workspace Account Issues: A recurring theme is that users with paid Google Workspace (business) accounts face more login issues than those with standard, free Gmail accounts.

Potential solutions include:

  • Sign Out and Restart: Sign out of your Google account inside Antigravity, close the app completely, then reopen it and log in again.
  • Switch to a Personal Account: If you're using a Workspace account, try a standard @gmail.com address, which appears to be more reliable.
  • The "Brute Force" Method: Several users found success by repeatedly clicking the "Back" and "Next" buttons on the authentication screen and re-authenticating 4-5 times until it worked.

Aggressive Quota Limits and Unreliable Model Behavior

For those who make it past the setup screen, the core AI experience has been a mixed bag. The primary frustration is an opaque and unforgiving quota system.

The problems include:

  • Instant Quota Limits: Users report hitting their model quota limit "after a single query" or within minutes of use, even on paid plans.
  • Erratic AI Performance: The underlying Gemini 3 Pro model has been described as unreliable. Issues include getting stuck in loops, completely rewriting codebases while ignoring errors, and pausing mid-task for no reason.

Potential solutions include:

  • Just Say "Continue": When the model pauses or throws a vague error, simply typing the word "continue" into the prompt has been shown to resume the task.
  • Workaround: One user found success by re-running the same query multiple times until it completed successfully.

Workflow Interruptions and Data Portability

While Antigravity's planning mode received high praise for its collaborative, doc-style feedback UX, its implementation creates a significant workflow problem.

The problems include:

  • Trapped Planning Docs: The planning documents and tasks generated by the IDE are not stored within the user's project directory. Instead, they are saved in a proprietary local app directory called "brain." This makes it impossible to switch back to another IDE like VS Code without losing this critical context.

Potential solutions include:

  • Manual Copy & Paste: Currently, the only way to move your planning documentation out of Antigravity is to manually copy and paste it into an external file.

Extension Support and Customization

Users attempting to customize Antigravity with familiar extensions have run into roadblocks.

The problems include:

  • Missing Extensions: Popular extensions like OpenAI Codex IDE are reportedly difficult or impossible to find in the marketplace search.
  • Installation Failures: Some users are unable to install any extensions at all.

Potential solutions include:

  • Import a Profile: One user successfully installed their extensions, including Codex, by importing their existing profile from the Cursor IDE.
  • Keep Scrolling: The marketplace UI may be at fault; some missing extensions have been found by scrolling all the way to the bottom of the search results.

Privacy and Open Source Concerns

Finally, developers have raised fundamental questions about data privacy and vendor lock-in.

The problems include:

  • Data Privacy: Users are concerned about whether their private code is being used to train Google's models.
  • Closed Source: The IDE does not appear to be open source, raising concerns about long-term viability and community trust compared to MIT-licensed VS Code.

Potential solution/clarification:

  • Check the Settings: Antigravity includes a toggle to opt out of data collection "for use in evaluating, developing, and improving Antigravity and models." Users are encouraged to review this setting, though some remain skeptical about its scope.

Conclusion: A Promising but Half-Baked Debut

The consensus among early adopters is that Antigravity feels like a "20% time project" rather than a polished product ready to compete. The innovative planning mode and potential of the Gemini 3 model are clear strengths. However, until Google resolves the severe login issues, clarifies its quota system, fixes model-breaking bugs, and addresses the critical workflow lock-in, it will struggle to win over developers from the market.