Claude Driving Gemini CLI with Explicit Verification
Claude designs the approach, Gemini CLI or Antigravity CLI executes, and explicit verification steps close the loop. Split reasoning from execution across tools.
Claude Driving Gemini CLI with Explicit Verification

Claude Code has strong reasoning and extended thinking, but no built-in autonomous verification loop. Gemini CLI and Antigravity CLI bring a 1M-token context window and cheaper execution, but weaker instruction following. Neither tool ships a feature called the "Ralph loop."
This pattern uses Claude to design the approach and Gemini to execute it, with verification written explicitly into the prompt and checked by Claude afterward. Claude is the conductor. Gemini does the work.
Overview
The pattern splits a task into two roles:
- Claude Code — Designs the approach, writes the prompt, invokes
agy(orgemini) via bash, reviews the output, iterates - Gemini CLI / agy — Receives the task, reads the relevant files, makes changes, and reports results
The key insight: Claude excels at designing a task and reviewing the output. Gemini excels at executing large-context tasks. Verification is a prompt requirement plus a follow-up check, not an automatic product loop.
Key Features
- Combines Claude's reasoning quality with Gemini's 1M-token context
- Claude writes targeted prompts that ask Gemini to read, plan, execute, and report
- A separate verification pass catches errors Claude might miss on review
- Execution is cheaper than running everything through Claude
- Works for code review, refactoring, research, and documentation
Installation & Setup
Prerequisites
Both tools must be installed and configured:
Claude Code:
npm install -g @anthropic-ai/claude-code
export ANTHROPIC_API_KEY=sk-ant-...
Antigravity CLI (consumer path):
curl -fsSL https://antigravity.google/cli/install.sh | bash
# Binary is 'agy', not 'antigravity'
export GEMINI_API_KEY="your-key"
# Also set "modelProvider": "gemini" in ~/.gemini/antigravity-cli/settings.json
Gemini CLI (enterprise path):
npm install -g @google/gemini-cli
gcloud auth application-default login
export GOOGLE_GENAI_USE_VERTEXAI=true
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="your-location"
For CI/CD, set GOOGLE_APPLICATION_CREDENTIALS to a service account key instead of running the ADC login.
Configuration
No special configuration is needed for the basic pattern. Claude invokes agy (or gemini) via the bash tool. Optionally, add a shortcut in your CLAUDE.md:
## Gemini / Antigravity Delegation
When using Gemini CLI or Antigravity CLI (agy) for sub-tasks:
- Use `agy -p "task"` for headless execution
- Use `--model` with a slug from `agy models`
- Always include `--output-format json` for structured output
- Ask for files read, changes made, and commands run in the response
- Verify the output before integrating it
Available Tools/Resources
| Tool | Role | Strength |
|---|---|---|
Claude bash tool | Invokes Gemini/agy CLI | Reliable subprocess execution |
agy -p | Headless task execution | Non-interactive runs |
agy --model | Select model | gemini-3.1-pro-high for complex work, gemini-3.8-flash-high for fast runs |
agy --output-format | Structured output | json for parsing, text for reading |
agy --sandbox | Isolated execution | Required for untrusted tasks |
Configuration Example
Claude task prompt for Gemini/Antigravity
Claude writes a targeted prompt, invokes agy (or Gemini CLI), and reviews:
agy --model gemini-3.1-pro-high --output-format json \
-p "Analyze the codebase in src/ for performance issues.
First read the directory structure and dependency manifests.
Then identify the slowest paths and explain each bottleneck.
Run the existing benchmark or test command if one exists.
Report: files read, commands run, findings with file:line references."
When to use
- Large codebase analysis (leverage Gemini's 1M context)
- Tasks where a second model provides a useful quality gate
- When you want an explicit verification step as a second check
- When Claude's API costs matter
Common Use Cases
Codebase Analysis
Gemini's 1M context window reads the entire project. Claude designs the analysis framework and reviews the findings.
Multi-Step Refactoring
Claude plans the refactoring strategy across files. Gemini executes each step and reports what changed; Claude checks the diff and runs the tests.
Research & Documentation
Claude designs the documentation structure. Gemini generates the initial draft from the full codebase. Claude reviews and refines.
Cross-Language Translation
Claude designs the translation strategy (idiomatic equivalents, patterns to preserve). Gemini handles the volume of the translation; Claude reviews for semantic drift.
Best Practices
Security Considerations
- Antigravity CLI runs with the same permissions as the user unless you pass
--sandbox. Use it for untrusted tasks. - When reviewing Gemini output, Claude should verify before integrating. Prompt-level verification catches some errors but not all.
- Never pipe API keys or secrets into Gemini prompts.
Performance Optimization
- Use
gemini-3.8-flash-highfor fast iterations, escalate togemini-3.1-pro-highwhen quality matters - JSON output format (
--output-format json) makes parsing the result in Claude's review step easier - If a run stalls, Claude can kill the process and re-prompt with a narrower scope
Troubleshooting
Gemini doesn't respond or times out
Set a timeout on the bash invocation in Claude:
timeout 120 agy -p "task description"
The task goes in circles
Without a built-in loop, a model can still repeat failed edits. Claude should detect repetition and re-prompt with explicit exit conditions: what counts as done, which tests must pass, and what to report if blocked.
Output format mismatch
When using --output-format json, the model may still wrap output in markdown code fences. Claude should strip these before parsing.
Related Integrations
- Hooks + DeepSeek API — Use Claude hooks for bulk generation at lower cost
- Opus, Sonnet + opencode Auditors — Opus leads, Sonnet subagents build, opencode checks the work read-only
- Hermes Cleanup Loop — Complement with an autonomous agent loop
- OpenCode Multi-Provider — Switch between providers mid-session for different task types
Sources
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