Genkit Go 1.0 and Enhanced AI-Assisted Development (developers.googleblog.com)

Google has launched Genkit Go 1.0, the first stable, production-ready release of its open-source AI development framework tailored for the Go programming ecosystem. Genkit Go offers a unified interface for integrating multiple AI model providers—including Google AI, OpenAI, Anthropic, Vertex AI, and Ollama—enabling developers to build full-stack AI applications with multimodal content generation, structured outputs, tool calling, retrieval-augmented generation (RAG), and agentic workflows. The release emphasizes stability and backward compatibility, ensuring that applications written for Genkit 1.* will remain functional with future updates. A standout feature of Genkit Go is its "flows," which enable developers to define type-safe, testable, and observable AI-driven functions that can be deployed as HTTP endpoints with minimal configuration. For example, a flow can generate structured recipe data using model-driven prompts with built-in support for external tools and APIs, facilitating complex AI-assisted development scenarios. Additionally, the new genkit init:ai-tools CLI command streamlines the integration of AI coding assistants, improving developer productivity by automatically configuring popular tools to work seamlessly with Genkit’s environment. By combining Go’s speed and reliability with a comprehensive set of AI development and deployment tools, Genkit Go 1.0 significantly lowers the barrier to creating scalable, production-quality AI applications. This release marks an important step toward unifying AI model access and tooling in a high-performance language, offering the AI/ML community a powerful framework for rapid innovation.