AI Coding in Notebook

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AI Coding in Notebook

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Step 1: Quick AI Edit

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Built-in AI Suggestions

1. Trigger AI Edit: Press Cmd/Ctrl + K or click the AI edit button in the code block toolbar
2. AI Analyzes Code: AI reviews your code and suggests improvements
3. Green Suggestions: AI suggestions appear in green text
4. Preview Execution: Code runs with suggested changes even before accepting

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Accepting Changes

• Line by Line: Accept individual suggestions one at a time
• Accept All: Accept all AI suggestions at once
• Undo Actions: Use Ctrl + Z to undo accept/reject actions
• Preview Mode: See how code performs with suggestions before committing

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AI Edit Features

• Context-Aware: AI understands your notebook’s full context
• Smart Suggestions: Intelligent code improvements and optimizations
• Real-time Preview: Test suggested changes immediately
• Flexible Control: Accept, reject, or modify suggestions as needed

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Step 2: Error Resolution with GAIA

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”Resolve in GAIA” Button

1. Error Occurs: Code execution fails with detailed error message
2. Click “Resolve in GAIA”: Click the blue button in the error output
3. AI Agent Activation: Nika’s AI agent analyzes the entire notebook context
4. Comprehensive Analysis: AI looks at the bigger picture, not just the error

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GAIA’s Analysis

• Full Context: Analyzes entire notebook, not just the error line
• Dependency Tracking: Understands library imports and dependencies
• Data Flow: Tracks how data flows through your analysis
• Best Practices: Suggests improvements based on coding standards

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Step 3: GAIA Chat Interface

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AI-Powered Chat

1. Chat Panel Opens: GAIA chat panel appears on the right side
2. Error Context: AI shows understanding of the error and notebook context
3. Interactive Chat: Ask questions and get AI assistance
4. Streaming Responses: See AI responses stream in real-time

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Chat Features

• Natural Language: Ask questions in plain English
• Code Modifications: AI can modify your notebook directly
• Explanation: Get detailed explanations of errors and solutions
• Step-by-Step: Receive guided solutions for complex problems

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Example Chat Interaction

User: "can you fix it?"
GAIA: "I see the issue. The Google Earth Engine collection query is being aborted because it's trying to retrieve too many elements at once. Let me fix this by implementing pagination..."

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Step 4: AI-Powered Code Execution

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Streaming AI Execution

• Real-time Modifications: AI can modify your notebook as you chat
• Direct Integration: Changes appear directly in your code blocks
• Context Preservation: AI maintains your notebook’s structure and flow
• Immediate Testing: Modified code can be executed right away

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AI Model Selection

• GPT-4.1-mini: Fast and efficient AI model for quick responses
• Context-Aware: Model understands your specific notebook context
• Error-Specific: Tailored responses based on the exact error encountered
• Learning: AI learns from your coding patterns and preferences

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Step 5: Advanced AI Features

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Intelligent Code Suggestions

• Auto-completion: AI suggests code completions as you type
• Import Optimization: Automatically suggest and add required imports
• Error Prevention: Catch potential errors before they occur
• Performance Optimization: Suggest more efficient code patterns

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Context-Aware Assistance

• Notebook History: AI remembers previous code blocks and outputs
• Data Understanding: AI understands your data structures and types
• Library Knowledge: AI knows about available libraries and their usage
• Best Practices: Suggest improvements based on coding standards

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Next Steps

1. Practice AI Edit: Try Cmd/Ctrl + K on your code blocks
2. Test Error Resolution: Use “Resolve in GAIA” when you encounter errors
3. Explore Chat: Ask GAIA questions about your code and data
4. Learn Patterns: Observe how AI suggests improvements

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