Technical Context
I delved into Google's announcement and migration notes, and the gist is simple: Gemini CLI is no longer the primary path; Google is now pushing everyone toward Antigravity CLI. If you had AI integration via CLI in your repository, this isn't just cosmetic—it's a real migration of a working pipeline.
The most annoying part isn't the name change. I immediately stumbled upon the fact that project instructions must be moved from gemini.md to agents.md, which means all templates, repo scripts, and internal guides tied to the old name are now incorrect.
Google claims the overall workflow will remain familiar. But I always take such promises with a grain of salt: if you have aliases, shell wrappers, CI steps, or documentation with a hardcoded gemini, all of it needs to be checked manually.
Another point: there's already confusion around Antigravity because the brand is used for both an IDE and the CLI. In practice, this means extra installation errors, issues with PATH, environment problems, and uncertainty about which package a person downloaded.
The timeline doesn't offer much room to relax either. Discussions already mention a shutdown date for some paid scenarios starting June 18, 2026, so I wouldn't recommend postponing the migration until the last minute.
What This Means for Business and Automation
If you have the CLI integrated into your AI automation, the problem goes beyond a simple file rename. It breaks silent dependencies: bootstrap scripts, onboarding for new developers, auto-generation of agent instructions, and CI integrations.
Those with an architecture not nailed down to a single vendor name will win. The losers will be teams that used the CLI as-is, without an abstraction layer or proper config management.
In situations like this, I usually advise not just "updating the tool" but quickly rebuilding the AI architecture around a neutral interface: agent instructions separate from CLI calls, and secrets and auth separate as well. This is exactly the kind of transition we handle for clients at Nahornyi AI Lab when they need a proper AI solution development for real processes, not panic after a rebrand.
If you already have repositories with gemini.md files, old aliases, and fragile automation, it's better to sort it out now. Otherwise, on D-Day, you'll be fixing your own production environment, not Google's. If you'd like, my team at Nahornyi AI Lab can help you smoothly migrate this to a working system and build AI automation so that the next sudden rebrand doesn't crash your processes.