From feedback to a filed, agent-ready issue.
Avarta closes the loop between noticing a problem and fixing it. A browser extension lets anyone record or screenshot what went wrong; an agent on your containers, VMs, and servers watches logs and metrics for the patterns people miss.
Either way, Avarta uses an LLM to turn raw feedback into a complete, well-structured issue — reproduction steps, screenshots, logs, root-cause hints, and the right labels — and files it straight into GitHub or Jira.
Every issue lands detailed enough that an agent or a human can pick it up and ship the fix, so improvements, enhancements, and bug fixes flow without anyone writing a ticket from scratch.