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Feedback Loop · Issue Intelligence

Avarta

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.

  • Browser extension — record or screenshot a problem and file it in one click
  • Log & metric analysis across containers, VMs & servers — catches patterns before users report them
  • LLM-written issues with repro steps, screenshots, logs, root-cause hints & labels
  • Files straight into GitHub or Jira through native integrations
  • Issues detailed enough for agents or humans to implement directly
Browser captureLog analysisGitHubJiraAgent-ready
avarta — feedback → issue
screen recording · 0:42 · 3 steps captured
Checkout button misaligned on mobile Safari
buguiP2
Repro steps, screenshots & console errors attached. Likely a flex-wrap regression in CheckoutBar after the v1.4 release.
opened GitHub #1423 · ready for an agent