Show HN: I built an AI agent to diagnose technical issues (rinhelp.com)

Rinhelp, a newly developed AI agent, streamlines the troubleshooting process for technical issues encountered by SaaS teams. By initiating its analysis directly from Crisp support threads, it integrates relevant data from GitHub and Sentry, providing users with an evidence-backed diagnosis draft for human review. This reduces the time engineers spend transitioning between different tools and contexts, allowing them to maintain productivity and focus on continuous development while addressing bugs or issues. The significance of Rinhelp for the AI/ML community lies in its ability to automate the initial stages of technical diagnosis without requiring constant human oversight. This innovation not only accelerates the investigation of technical tickets but also enhances the accuracy of the diagnosis by leveraging concrete evidence rather than speculation. Rinhelp marks incomplete investigations when evidence is insufficient, guiding users on what additional information to collect. By offering a streamlined workflow with a review stage, the tool empowers teams to resolve issues efficiently and maintain momentum in their development cycle.