Gemini CLI and Antigravity CLI (what replaced what)

Terminal agents sound simple until the name on the binary changes. One month your notes say “install Gemini CLI.” The next month a Google developer blog says consumer Pro and Ultra traffic on that CLI is ending, and the new front door is Antigravity CLI. Enterprise docs still mention Gemini CLI quotas in places. Your job is not to memorize every rename. Your job is to know which terminal product your account is allowed to use this quarter.

This is Part 3 of the Gemini product map (GM10): Gemini CLI and Antigravity CLI, what replaced what, and how terminal agents relate to chat apps and IDE assistants.

What a terminal coding agent

What a terminal coding agent is for
How Gemini CLI and Antigravity CLI relate in the mid-2026 transition
Who was pushed to migrate and who often stayed on enterprise paths
How CLI agents differ from IDE complete and from the Gemini app
A migration mindset: skills, hooks, and not cargo-culting flags
Safety basics for repo-aware agents

Terminal agents in one paragraph

A terminal agent runs in your shell, can read and modify project files (with permission patterns), and can execute multi-step tasks with more autonomy than a single chat reply. That power is the point and the risk. It is closer to a junior engineer with a keyboard than to a side-panel sentence rewriter.

Four surfaces: Gemini app, IDE assist, terminal CLI, Antigravity agent platform

Gemini CLI (the name you still see)

Gemini CLI is Google’s open-source-oriented terminal experience for Gemini-powered agent workflows. It became a popular answer to “I want the model in my repo from the command line.” Cloud documentation still references Gemini CLI quotas in enterprise Code Assist contexts. The project can remain relevant for enterprise customers and for communities tracking the repo even while consumer product routing changes.

Antigravity CLI (the name you need on the map)

Google Antigravity is Google’s agentic development platform branding: desktop/agent command center concepts plus a terminal surface. Antigravity CLI is the lightweight terminal product Google positioned as the high-velocity path for agent workflows, with migration guidance for Gemini CLI users. Public I/O 2026 style announcements tied Antigravity 2.0, managed agents, and CLI together as the “agent-first” story.

Gemini CLI legacy path versus Antigravity CLI current push with June 2026 consumer notes

What “replaced what” means (without mythology)

For many consumer users on free individual paths or Google AI Pro/Ultra, Google’s May 2026 announcement described a hard date: on June 18, 2026, Gemini CLI (and related individual Code Assist IDE extension serving for those tiers) would stop serving those requests. Those tiers were directed to Antigravity CLI. Enterprise Standard/Enterprise Code Assist style access was described as remaining on existing paths, and some API-key / platform access notes remained for Gemini CLI in enterprise contexts.

So “replaced” is tier-dependent:

Many consumers: plan as if Antigravity CLI is the supported terminal agent front door after the cutover.
Many enterprises: may still run Gemini CLI / Code Assist under org licenses while also evaluating Antigravity.
Everyone: re-read migration docs; do not rely on a blog post from a friend.

Migration mindset

Inventory scripts, aliases, and CI steps that call the old binary name.
Read the official migration guide (Antigravity docs linked from Google’s announcement).
Re-test auth: which Google account or Cloud project does the new CLI use?
Rebuild one real workflow (explain failing test, draft a patch) before training the team.
Update the internal wiki the same day, not “later.”

# Example team note (fill with your real commands after you verify docs)
# Old: gemini ...   (Gemini CLI)
# New: (Antigravity CLI command per current install docs)
# Auth: work account only
# Rule: no production secrets in prompts
# Rule: human review before merge

CLI vs IDE vs chat: pick on purpose

Job	Prefer	Why
Rewrite an email	Gemini app / Workspace	Not a repo problem
Complete a function while reading code	IDE assist	Inline context
Multi-file agent task in a repo	Terminal CLI / Antigravity	Shell + files + loops
Managed multi-agent desktop	Antigravity platform	When you outgrow one-off CLI calls

Safety for repo-aware agents

Start in a clean git branch
Prefer dry-run / plan modes when available
Never point an agent at production credentials “to fix faster”
Review diffs like a skeptical tech lead
Keep .env and key files out of prompt context
Log what ran if your team needs auditability

When a terminal agent is overkill

If the task is a ten-line explanation, use chat. If the task is a single function rename, use the IDE. Terminal agents shine when the work is multi-step and file-heavy. Using them for everything is how you get surprising git status and tired reviewers.

Write down whether you are consumer or enterprise

Write down whether you are consumer or enterprise for coding AI.
Open Antigravity’s site and the Gemini CLI transition blog; note the date language that applies to you.
If you already use a CLI agent, list three commands you depend on.
Mark which need migration testing this month.

Copy-pasting install instructions from a pre-transition tutorial

Copy-pasting install instructions from a pre-transition tutorial
Assuming enterprise and consumer timelines match
Letting an agent force-push or skip tests
Training juniors on CLI autonomy before review culture exists

A operations team standardized on personal consumer accounts

A operations team standardized on personal consumer accounts because Workspace AI was “not rolled out yet.” Six months later they had no audit trail and three conflicting prompt templates. The rebuild cost more than the original seat conversation with IT.

A mobile squad installed every AI IDE plugin available. Completions overlapped, secrets scanners screamed, and juniors accepted multi-file edits they could not explain. They cut back to one approved surface and a written review rule. Velocity went up because review time went down.

A prototype used Studio keys in a public demo without rate limits. A scraper found it over a weekend. Budget alerts did their job only after the bill was already ugly. Caps in code and on the cloud project are cheaper than postmortems.

If you only remember one sentence from this part: product packaging and account type decide what you can click long before model taste debates matter. Get the door right, then get the habit right, then worry about which label is on the dropdown this month.

What “agent-first” changes about responsibility

Chat asks you a question and waits. Agents propose sequences of tool uses. That shifts failure modes from “wrong paragraph” to “wrong file tree.” Your review practice must shift too: inspect plans, constrain directories, require tests, and keep blast radius small. A team that adopts Antigravity CLI without changing review culture is not modern. It is gambling with better branding.

CI and automation cautions

Putting a coding agent into CI can be powerful and expensive. Start with human-triggered jobs on feature branches. Log prompts and model versions. Cap minutes. Never give production deploy credentials to an experimental agent job. If leadership wants “AI in the pipeline,” translate that into a narrow, measurable stage (for example draft release notes from merged PR titles) before autonomous refactors.

Skills, hooks, and plugins without fetish

Agent ecosystems love extension points: skills, hooks, plugins, MCP-style tools. Use them when a repeated workflow is stable. Do not install twenty community plugins on day one. Each extension is another supply chain and another way to exfiltrate context. Prefer a short internal list with owners.

Documenting the terminal standard

# Internal standard stub
# Approved terminal agent: (Antigravity CLI / Gemini CLI / none)
# Who may install: (roles)
# Auth: work account / Cloud project (id)
# Data: no customer PII in prompts
# Git: feature branch required
# Review: human required for auth, payments, migrations
# Support channel: #ai-coding
# Last verified: YYYY-MM-DD

A week-one pilot plan for terminal agents

Day 1: install only on a volunteer machine with a throwaway repo. Day 2: run explain and test-fix tasks with human review. Day 3: try one multi-file refactor behind a feature branch. Day 4: write the internal standard stub and a short incident “what if it deletes files” play. Day 5: decide expand, pause, or reject. Pilots that skip the decision meeting become permanent accidental standards.

During the pilot, capture three artifacts: a good session transcript, a bad session transcript, and a time comparison against doing the task manually. Those artifacts persuade skeptics better than vendor keynotes.

Pilot owner named
Success criteria written before install
Rollback means uninstall + wiki update same day
No customer repos in week one

If your pilot succeeds, freeze versions of install docs with dates. Tomorrow’s binary name might change again. Dated internal docs beat tribal memory, and they make the next deprecation less dramatic than the last one.

Keep a short changelog of CLI tool decisions in the same place you keep coding standards. Future you will need it the next time a keynote renames the terminal again.

Gemini CLI and Antigravity CLI are terminal agent

Gemini CLI and Antigravity CLI are terminal agent surfaces in the same broader family story.
Consumer cutovers in 2026 pushed many people to Antigravity CLI; enterprise often kept licensed paths.
Pick CLI vs IDE vs chat by job shape.
Next: Google AI Studio and API light.

Sources

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