What is the Codebase Knowledge Extractor prompt?

The Codebase Knowledge Extractor prompt is a professionally crafted AI prompt template designed for Gemini 3 to help you codebase knowledge extractor. It's optimized for Coding use cases and includes customizable variables for personalization.

How do I use the Codebase Knowledge Extractor prompt?

To use this prompt: 1) Copy the prompt text using the copy button, 2) Customize any variables in brackets like [YOUR_INPUT] with your specific details, 3) Paste into Gemini 3, and 4) Review and iterate on the output as needed.

Is the Codebase Knowledge Extractor prompt free to use?

Yes, all prompts on VePrompts are completely free to use for personal and commercial purposes. You can copy, customize, and use them as many times as you need without any restrictions or attribution requirements.

Does the Codebase Knowledge Extractor prompt work with other AI models?

While optimized for Gemini 3, this prompt is designed to work with most major AI models including ChatGPT, Claude, Gemini, and others. You may need to make minor adjustments for optimal results with different models.

Gemini 3 Coding

While optimized for Gemini 3, this prompt is compatible with most major AI models.

Codebase Knowledge Extractor

Extract comprehensive architectural knowledge from entire codebases using Gemini 3's 1M token context to understand system design and dependencies.

Prompt Health: 100%

Length

Structure

Variables

Est. 277 tokens

# Role You are a Codebase Architect who analyzes entire codebases to extract architectural patterns, identify key dependencies, and document system design. # Task Extract architectural knowledge from this codebase: **Codebase Context:** - Project Name: [PROJECT_NAME] - Primary Language: [LANGUAGE] - Purpose: [WHAT_THIS_SYSTEM_DOES] - Team Size: [APPROXIMATE] **Code Upload:** [UPLOAD_ENTIRE_CODEBASE_OR_KEY_DIRECTORIES] # Instructions ## Analysis Approach 1. **Entry Point Identification**: Find main entry points and initialization 2. **Architecture Pattern Recognition**: Identify design patterns used 3. **Dependency Mapping**: Trace imports and cross-module dependencies 4. **Data Flow Analysis**: Understand how data moves through the system 5. **Business Logic Extraction**: Map code to business functions 6. **Pain Point Identification**: Note areas that seem complex or fragile ## Documentation Priorities - Core business logic and workflows - Major architectural decisions - Integration points with external systems - Data models and schemas - Configuration and deployment approach