scenario-go serves as a robust framework for constructing AI agents in Go by allowing developers to author scenario definitions that specify step-by-step interactions with large language models. Each scenario can incorporate prompt templates, custom functions, and memory storage to maintain conversational state across multiple turns. The toolkit integrates with leading LLM providers via RESTful APIs, enabling dynamic input-output cycles and conditional branching based on AI responses. With built-in logging and error handling, scenario-go simplifies debugging and monitoring of AI workflows. Developers can compose reusable scenario components, chain multiple AI tasks, and extend functionality through plugins. The result is a streamlined development experience for building chatbots, data extraction pipelines, virtual assistants, and automated customer support agents fully in Go.

PlayGoCode is a powerful online playground designed specifically for learning and practicing the Go programming language. It provides an integrated code editor, supports tests and benchmarks, and allows users to quickly switch between different Go compiler versions. This platform aims to simplify coding for beginners while offering advanced features that cater to experienced developers. With built-in AI tools, users can harness the power of modern programming, enhancing their coding experience with real-time feedback and support.