Google has announced a major transition for developers using Gemini CLI, pushing users toward its new closed-source Antigravity CLI platform as part of a broader shift toward what the company describes as a “multi-agent reality.”
Starting June 18, Google AI Pro, Ultra, and free users will lose access to Gemini CLI, Gemini Code Assist IDE extensions, and Gemini Code Assist for GitHub. However, enterprise customers and users with API keys will continue to have access to Gemini CLI services.
Google introduced Antigravity CLI during Google I/O, positioning it as a “premier agent-first development platform” designed to support faster workflows, multi-agent orchestration, cloud infrastructure provisioning, and AI-assisted project development through a unified architecture.
In its announcement, Google said, “Listening to your feedback made one thing clear: we can serve you best by pouring our energy into a single product built for today’s multi-agent reality.”
The company stated that Antigravity CLI would continue supporting key capabilities such as quick coding assistance, project scaffolding, and infrastructure management, while also enabling multiple AI agents to operate simultaneously on complex tasks in the background.
Despite the announcement, the transition has triggered frustration among sections of the developer community. Google acknowledged that “There won’t be 1:1 feature parity right out of the gate,” but did not confirm when full feature alignment with Gemini CLI could be achieved.
Unlike Gemini CLI, which is open source and supported by a large contributor community, Antigravity CLI is closed source. Developers have raised concerns over the loss of customization flexibility, missing features, and lower usage limits.
Several users on Reddit reported hitting token and usage limits much faster on Antigravity CLI compared to Gemini CLI. One developer wrote, “even with pro I got the usage limit in just 6 to 7 prompts, this is insane,” while another said, “my tokens went crazy fast.”
Others questioned whether the platform was ready for rollout, citing poor documentation and limited quota availability despite paid subscriptions.
The transition also reflects a wider industry trend of rising AI infrastructure costs. Companies including Anthropic and GitHub have also recently introduced pricing and billing changes tied to AI developer tools and usage-based models.
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