KServe Community is a community documentation repository that serves as the entry point for contributing to KServe, a standardized distributed generative and predictive AI inference platform for scalable, multi-framework deployment on Kubernetes.
The repository addresses the need to onboard contributors and coordinate community participation in KServe's development. It provides centralized documentation covering contribution guidelines, developer setup instructions, design documentation, and information about community meetings and working groups. The approach is to lower barriers to entry by collecting essential resources in one place and directing contributors to relevant guidelines and issue trackers based on their interests.
Developers considering involvement should know that KServe is a Cloud Native Computing Foundation incubating project with an active community that holds public biweekly meetings. The repository is most useful for those wanting to contribute code, documentation, or participate in the working group. It suits contributors at all levels, from those seeking beginner-friendly issues marked as good first issues to those interested in deeper engagement through design discussions and architectural understanding. The repository explicitly directs contributors to the main KServe repository, the website repository for documentation contributions, and provides links to design documents and developer guidelines rather than duplicating that content.
The project maintains regular public community meetings with documented agendas and recorded sessions accessible through a community calendar. The repository includes contribution guidelines, design document processes, and multiple channels for community questions including a dedicated Slack channel and GitHub discussions. Development activity centers on coordinating contributor onboarding and maintaining clear pathways for different types of contributions across multiple repositories.
