As organizations continuously evolve their platform engineering practices, the seamless integration of AI agents is emerging as a transformative paradigm in orchestrating the journeys of developers and platform engineers. This presentation explores how AI agents can enhance Internal Developer Platforms (IDPs) and orchestration frameworks by introducing self-managing, self-optimizing, and self-healing capabilities that work in tandem with human expertise. While the allure of AI-driven platform automation is compelling, realizing this vision involves overcoming significant practical challenges. How can we design specialized AI agents that make real-time, collaborative decisions—ranging from anomaly detection and automated corrections to adaptive cloud resource allocation and cost optimization? In addressing this question, the talk examines the integration of human-in-the-middle oversight, ensuring accuracy and mitigating the inherent probabilistic risks associated with AI systems. Attendees will be guided through a step-by-step approach to identify key areas for AI integration, select the appropriate specialized agents, and develop effective orchestration strategies that align seamlessly with both developer and platform engineer journeys. By the end of the session, participants will have acquired a structured framework for leveraging AI in platform engineering, fostering a collaborative ecosystem where AI agents and human expertise come together to optimize the overall platform experience.
Platform Engineering
AI
