Prompting Strategies for Planning Apps in Google AI Studio

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Google AI Studio Gemini 2.5 Pro Google Search Planning Problem Solving

How to write initial prompts to define your MVP scope and leverage the 'Grounding' feature (via Google Search) to ensure technical accuracy before you start coding.

Advantages of Using Grounding

Without Grounding, the AI might suggest libraries or APIs that are already 'deprecated' (outdated). Enabling Google Search ensures the AI refers to the latest live documentation.

Tips for 'Prompt Chaining' in AI Studio

Don't ask the AI to write all the code at once. Use the chat to 'break down' the application into small modules. Start with the scope (MVP scope), then the data structure, and finally request code snippets for each function separately.

Choosing the Right Model

Use Gemini 1.5 Flash during the brainstorming phase because it is extremely fast and free (within quota limits). Switch to Gemini 1.5 Pro when you need the AI to review complex coding logic or for debugging.

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