About Semantic Kernel
Semantic Kernel is Microsoft’s SDK for integrating large language model capabilities into applications. Its core value is in helping developers move from raw model access to application-level composition, where prompts, AI functions, and business logic need to work together in a maintainable way. That makes it relevant for teams building product features on top of LLMs rather than only experimenting with prompt quality. Compared with lower-level model serving tools, Semantic Kernel is positioned closer to the app development layer. It is most useful when teams want an SDK-centric approach for embedding AI behavior into existing software systems. For organizations standardizing how LLM functionality is introduced into apps, that can be more practical than relying on scattered direct API calls. The project is best understood as an integration framework: not a model trainer, not an inference optimizer, but a developer-facing layer for turning LLM access into product functionality.