Gemini and beyond Your favorite tools and models
AI Summary
Summary of Video: Using Gemini in Your Development Environment
- Introduction
- Google empowers developers by integrating AI tools into popular IDEs.
- IDE Experiences with Gemini
- Windsurf IDE:
- Create Java microservice apps for budgeting using AI assistance.
- AI generates code and commands over multiple steps.
- Cursor IDE:
- Focus on budget controller Java file with input validation.
- Inline options allow direct modifications to the existing code.
- IntelliJ with GitHub Copilot:
- Integrated support for Gemini models.
- Ability to interact in different languages (e.g., Spanish) for code generation.
- Supports Gemini 2.5 across various IDEs including Visual Studio Code and Tab 9.
- Running Models
- Introduces Vertex AI’s Model Garden with popular models (e.g., Llama 3.3).
- Connect to existing models or bring your own from registries.
- Model tests can be performed directly in the IDE.
- Deploying models minimizes latency and enhances security by co-locating with apps.
- Implementation Example
- Demonstration in Visual Studio Code for switching models with simple code changes.
- Using Anthropic’s library to reconfigure model initialization.
- Conclusion
- Encourages developers to build applications utilizing Gemini and Vertex AI Model Garden.
- Excitement for future developments in AI-assisted coding.