Buildkite has introduced new agentic workflow components designed to integrate AI-assisted processes into CI/CD workflows, offering platform teams a set of composable primitives to enhance their operations. These components include the Buildkite MCP server for API access, model providers for connecting to frontier models like Anthropic's Claude, pipeline triggers for invoking pipelines via webhooks, and a multi-language SDK for dynamic pipeline generation. The blog post provides three practical examples demonstrating these components in action: a GitHub code-review bot, a GitHub PR build fixer, and a Linear issue handler. Each example illustrates the use of AI agents in addressing common real-world problems, with the workflows configured to be flexible and adaptive, leveraging Docker containers for isolation and security. The components allow for seamless integration of AI into Buildkite pipelines, enabling tasks like code review and issue handling to be automated and enhanced by AI, thereby increasing efficiency and reducing manual effort in reviewing and fixing code or managing issues.