G2

Gaurav T.

Self employed

Education Management

Small-Business (50 or fewer emp.)

5/19/2026

"Flexible and Powerful Framework for Building AI-Powered Applications"

4/5

What do you like best about Semantic Kernel (SK)?

What I like best about Semantic Kernel is its flexibility and developer-friendly design for building AI-powered applications. It makes it easy to connect large language models with plugins, APIs, and business workflows while supporting multiple programming languages like C#, Python, and Java. Review collected by and hosted on G2.com.

What do you dislike about Semantic Kernel (SK)?

One downside of Semantic Kernel is that the learning curve can feel steep for beginners, especially when working with planners, memory management, and complex AI orchestration concepts. Documentation and examples are improving, but some advanced features can still feel fragmented or change frequently between updates Review collected by and hosted on G2.com.

What problems is Semantic Kernel (SK) solving and how is that benefiting you?

Semantic Kernel helps solve the challenge of integrating AI models into real business applications and workflows without building everything from scratch. It simplifies tasks like prompt orchestration, connecting APIs and plugins, managing AI memory, and automating multi-step processes.

This benefits me by speeding up AI application development, reducing manual coding effort, and making it easier to create scalable, maintainable solutions. It also improves productivity by enabling smoother automation and more intelligent user experiences across different tools and services. Review collected by and hosted on G2.com.