
RunLLM – AI Support Engineer for Complex Issues
This podcast describes RunLLM, an AI Support Engineer designed to resolve complex customer support issues by analyzing logs, code, and documentation, rather than simply providing basic responses. Built on UC Berkeley research, this tool aims to reduce engineering time, cut down mean time to resolution (MTTR), and significantly deflect support tickets. Testimonials highlight its high-quality answers and its ability to act as a valuable team member, going beyond typical chatbot capabilities. The updated RunLLM v2 introduces features like agentic reasoning, multi-agent support, and customizable workflows via a Python SDK, allowing for tailored and efficient support operations across various teams. The […]