# Using Gemini CLI for Large Codebase AnalysisWhen analyzing large codebases or multiple files that might exceed context limits, use the Gemini CLI with its massivecontext window. Use `gemini -p` to leverage Google Gemini's large context capacity.## File and Directory Inclusion SyntaxUse the `@` syntax to include files and directories in your Gemini prompts. The paths should be relative to WHERE you run thegemini command:### Examples:**Single file analysis:**```bashgemini -p "@src/main.py Explain this file's purpose and structure"Multiple files:gemini -p "@package.json @src/index.js Analyze the dependencies used in the code"Entire directory:gemini -p "@src/ Summarize the architecture of this codebase"Multiple directories:gemini -p "@src/ @tests/ Analyze test coverage for the source code"Current directory and subdirectories:gemini -p "@./ Give me an overview of this entire project"#Or use --all_files flag:gemini --all_files -p "Analyze the project structure and dependencies"Implementation Verification ExamplesCheck if a feature is implemented:gemini -p "@src/ @lib/ Has dark mode been implemented in this codebase? Show me the relevant files and functions"Verify authentication implementation:gemini -p "@src/ @middleware/ Is JWT authentication implemented? List all auth-related endpoints and middleware"Check for specific patterns:gemini -p "@src/ Are there any React hooks that handle WebSocket connections? List them with file paths"Verify error handling:gemini -p "@src/ @api/ Is proper error handling implemented for all API endpoints? Show examples of try-catch blocks"Check for rate limiting:gemini -p "@backend/ @middleware/ Is rate limiting implemented for the API? Show the implementation details"Verify caching strategy:gemini -p "@src/ @lib/ @services/ Is Redis caching implemented? List all cache-related functions and their usage"Check for specific security measures:gemini -p "@src/ @api/ Are SQL injection protections implemented? Show how user inputs are sanitized"Verify test coverage for features:gemini -p "@src/payment/ @tests/ Is the payment processing module fully tested? List all test cases"When to Use Gemini CLIUse gemini -p when:- Analyzing entire codebases or large directories- Comparing multiple large files- Need to understand project-wide patterns or architecture- Current context window is insufficient for the task- Working with files totaling more than 100KB- Verifying if specific features, patterns, or security measures are implemented- Checking for the presence of certain coding patterns across the entire codebaseImportant Notes- Paths in @ syntax are relative to your current working directory when invoking gemini- The CLI will include file contents directly in the context- No need for --yolo flag for read-only analysis- Gemini's context window can handle entire codebases that would overflow Claude's context- When checking implementations, be specific about what you're looking for to get accurate results # Using Gemini CLI for Large Codebase AnalysisWhen analyzing large codebases or multiple files that might exceed context limits, use the Gemini CLI with its massivecontext window. Use `gemini -p` to leverage Google Gemini's large context capacity.## File and Directory Inclusion SyntaxUse the `@` syntax to include files and directories in your Gemini prompts. The paths should be relative to WHERE you run thegemini command:### Examples:**Single file analysis:**```bashgemini -p "@src/main.py Explain this file's purpose and structure"Multiple files:gemini -p "@package.json @src/index.js Analyze the dependencies used in the code"Entire directory:gemini -p "@src/ Summarize the architecture of this codebase"Multiple directories:gemini -p "@src/ @tests/ Analyze test coverage for the source code"Current directory and subdirectories:gemini -p "@./ Give me an overview of this entire project"# Or use --all_files flag:gemini --all_files -p "Analyze the project structure and dependencies"Implementation Verification ExamplesCheck if a feature is implemented:gemini -p "@src/ @lib/ Has dark mode been implemented in this codebase? Show me the relevant files and functions"Verify authentication implementation:gemini -p "@src/ @middleware/ Is JWT authentication implemented? List all auth-related endpoints and middleware"Check for specific patterns:gemini -p "@src/ Are there any React hooks that handle WebSocket connections? List them with file paths"Verify error handling:gemini -p "@src/ @api/ Is proper error handling implemented for all API endpoints? Show examples of try-catch blocks"Check for rate limiting:gemini -p "@backend/ @middleware/ Is rate limiting implemented for the API? Show the implementation details"Verify caching strategy:gemini -p "@src/ @lib/ @services/ Is Redis caching implemented? List all cache-related functions and their usage"Check for specific security measures:gemini -p "@src/ @api/ Are SQL injection protections implemented? Show how user inputs are sanitized"Verify test coverage for features:gemini -p "@src/payment/ @tests/ Is the payment processing module fully tested? List all test cases"When to Use Gemini CLIUse gemini -p when:- Analyzing entire codebases or large directories- Comparing multiple large files- Need to understand project-wide patterns or architecture- Current context window is insufficient for the task- Working with files totaling more than 100KB- Verifying if specific features, patterns, or security measures are implemented- Checking for the presence of certain coding patterns across the entire codebaseImportant Notes- Paths in @ syntax are relative to your current working directory when invoking gemini- The CLI will include file contents directly in the context- No need for --yolo flag for read-only analysis- Gemini's context window can handle entire codebases that would overflow Claude's context- When checking implementations, be specific about what you're looking for to get accurate results