The Stack Overflow Podcast Better vibes and vibe coding with Gemini 2.5
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Jun 10, 2025 
Tulsee Doshi leads the product team for Gemini at Google, while Logan Kilpatrick is a Senior Product Manager at Google's DeepMind. They dive into the capabilities of Gemini 2.5, highlighting its advanced reasoning and coding skills. The duo discusses optimizing costs in AI models and the rising trend of vibe coding, connecting backend services with frontend tools. They also touch on the evolution of model creation with a focus on user feedback, and how AI's role in development is rapidly changing, making coding more efficient and creative.
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Optimizing Cost-Quality Balance
- Gemini 2.5 is designed to optimize a Pareto frontier of cost and quality.
- Developers can control the model's thinking budget to manage cost and latency for different quality needs.
Tools and Reasoning Reduce Hallucinations
- Tools like search and code execution help reduce hallucinations by grounding models in external data.
- Models with self-reflection can catch mistakes during reasoning, improving answer accuracy.
Gemini's Native Multimodality
- Gemini 2.5 models have native multimodality in input and output contexts.
- They process text, video, and images to generate text, images, and audio with contextual understanding.