Google Cloud

Google Cloud's AI code generation tools, particularly through Vertex AI, offer advanced capabilities for generating and completing code using generative artificial intelligence. These tools assist developers by transforming natural language prompts into executable code across various programming languages.

Key features:
- Natural language to code generation in over 20 programming languages, including Python, JavaScript, C++, and more
- Code completion suggestions to help developers write code more efficiently
- Debugging assistance and code explanation to understand and fix issues
- Real-time code recommendations, full functions, and code blocks through Gemini Code Assist
- Identification of vulnerabilities and errors in code with suggested fixes
- Integration with Cloud Shell Editor, Cloud Code IDE extensions for VSCode, and JetBrains IDEs

How it works:
Users interact with Google Cloud's AI code generation tools primarily through Vertex AI. They can input natural language prompts to generate code, use the Cloud Shell Editor or IDE extensions for real-time code assistance, and leverage the Codey APIs for various coding tasks.

Integrations:
- Cloud Shell Editor
- Cloud Code IDE Extensions for VSCode and JetBrains IDEs
- Google Cloud CLI, Kubernetes Resource Model (KRM), and Terraform for infrastructure as code interfaces

Use of AI:
The generative AI features are built on Google's Gemini 1.5 Pro model, a multimodal model capable of generating text and code.

AI foundation model:
Gemini 1.5 Pro model, part of the Vertex AI suite

How to access:
- Web app through the Google Cloud console
- API via the Codey APIs
- IDE extensions for VSCode and JetBrains IDEs