Hand your agent a symptom, a thread, an error string, and it goes one layer below the log to find the real failure. It correlates logs, the warehouse, the prod database, and the code, then ships a fix with a regression test.
From an ambiguous symptom to a verified root cause with a tested fix, your agent does the whole investigation.
Each agent has its own computer with a browser and reads across the seams: CloudWatch and proxy logs, ClickHouse run transcripts, the read-only prod DB, GitHub on the right branch, Sentry, and Linear. The value is cross-seam correlation, not a single connector.
Tell an agent what you need, let it take care of the rest. Build out your entire team the same way.
"Something went wrong," "empty response," "sandbox unavailable" are symptoms, not causes. Your agent investigates beyond the upstream error, then diagnoses and reports the real failure.
A bug is rarely in one place. Your agent rebuilds the run from logs, replays the transcript from the warehouse, checks ground truth in the prod database, and reads the code on the right branch.
Your agent delivers the root cause, cited evidence with file and line, and a fix with a regression test.
We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).
"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"
It investigates production bugs to their real root cause. Hand it a symptom, a thread, an error string, a PR number, and it goes one layer below what the worker logged to find the actual failure. The output is the root cause, cited evidence, and a fix that ships with a regression test.
Alerting tools route symptoms to a human. This agent does the investigation, not just the paging.
Agents reason from what actually happened, not what the code should do. Plausible cause is treated as failure.
Whatever the investigation needs, correlated across the seams: logs for the upstream error, the data warehouse for the run transcript, the read-only prod database for ground truth, GitHub on the right branch, and Sentry and Linear for errors and issues.
It can open the PR. The default ending is a fix, not an escalation. Every fix ships with a regression test that fails on the old code and passes on the new. Escalation to a human is the fallback when it's genuinely blocked.
Yes. It can watch for new production errors, triage an incident backlog, and investigate on a schedule, delivering each root cause with evidence and a proposed fix. You review the PRs instead of doing the log-diving.
