Teamwork Safety Implementation Program
To balance AI assistance with code security, the following workflow is recommended:
- Establishment of an isolated environment
- Teams share test container images:
docker build -t team_gemini . - Setting up team-specific API keys (via Google Cloud IAM admin access)
- Teams share test container images:
- Review process revamp
- Pre-examination phase: with
git diff > changes.diffGeneration of discrepancy files - importation
Analyze this diff for potential risks:+ Paste the differences - For sensitive information first use
sedCommand to replace placeholders
- Pre-examination phase: with
- Mechanisms for validation of results
- Setting up a two-person review: member A generates a proposal → member B verifies execution
- Important changes must be made through
git checkout -b gemini_suggestionCreating Branches
Examples of typical application scenarios:
1. Automatic generation of unit test templates
2. Static analysis of complex conditional branches
3. Recognize possible memory leak patterns
Note: It is recommended that a team convention be established to prohibit the submission of confidential business code for AI analysis
This answer comes from the articleGeminiCode: an AI programming assistant based on Gemini 2.5 running in terminalsThe
May not be reproduced without permission:AI productivity tools " How to securely apply GeminiCode for code review in team collaboration scenarios?
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