RLVR lets LLM agents reliably hit Jira and Confluence API endpoints
A paper shows Reinforcement Learning with Verifiable Rewards lets small LLMs execute Atlassian SaaS workflows correctly, raising endpoint success rates from under 1 % to near‑perfect. The proof uses synthetic Jira/Confluence environments and demonstrates the approach works for Qwen‑3 models, though hand‑crafted rewards limit scalability.