Every crash grouped, deduped
and assigned to the right person
An error tracker like Sentry catches every exception, but a busy app still produces hundreds of entries a week. Many are the same underlying bug, reported a dozen different ways, and sorting that out falls on whoever has time. We build an agent that groups exceptions by root cause, dedupes the noise, and assigns each real issue to the engineer whose code touched it last.
Why your backlog looks bigger than it is
An error tracker generates a steady stream of exceptions from a live application. A meaningful share of them are the same bug, reported through slightly different stack traces. A null check missing in three call sites can all hit the same underlying issue. The same crash can recur every time one edge case comes up. Without active grouping, these show up as separate issues. The backlog inflates, and it gets hard to tell a genuinely new problem from the old one counted five times.
Assignment is its own headache. Someone has to look at each new issue and guess roughly what broke and who last touched that code. Then they assign it, or it sits in an unowned backlog. On a team without a dedicated triage rotation, that someone is usually whoever happened to open the error tracker that day. Triage quality ends up depending on who was paying attention.
Severity gets judged by raw error count too often. A low-impact exception can fire a thousand times an hour, a background job retry. It still outranks a rare but serious bug that only a handful of real customers hit. The numbers just look bigger.
What the agent sorts out
The agent reads every exception as it arrives in your error tracker. It groups each one with others sharing the same actual root cause, not just similar-looking stack trace text. It also flags recurring crashes, the ones that keep showing up release after release despite looking fixed on paper. Each distinct issue gets a severity score based on estimated user impact. How many distinct users hit it, and whether it sits in a critical path like checkout or login, matters more than the raw count.
For assignment, the agent checks the git history of the failing file and function and assigns the issue to whoever committed there most recently. A documented fallback goes to a team default when there is no clear single owner. Every assigned ticket carries a plain-language summary of what broke and the likely cause, based on the stack trace and recent changes. It also links to the specific commits involved, so the engineer picking it up starts with context, not a raw stack trace.
Known issues already being tracked are suppressed from re-alerting. A weekly rollup shows what is new, what is recurring and what got resolved. Typical integrations: Sentry, Bugsnag or Rollbar for the error data, GitHub or GitLab for commit history, and Jira, Linear or GitHub Issues for the resulting tickets.
What engineers still decide
Deciding how to actually fix a bug stays an engineering decision, and so does deciding that an issue is not worth fixing right now. Resolving or dismissing a ticket is always done by the assigned person or a lead. The agent never closes something automatically just because it stopped recurring for a few days. When ownership is genuinely unclear, which happens when a bug spans the boundary between two services, a person resolves it. The agent’s commit-history evidence is a starting point, not a final verdict.
What never happens automatically
Every grouping decision and every assignment is logged with its reasoning, so a wrongly grouped or wrongly assigned issue is easy to spot and correct. That correction feeds back into how similar cases get handled later. The agent never auto-resolves or auto-dismisses a ticket. It only groups, scores and assigns. A kill switch reverts to your error tracker’s default, ungrouped view at any time, without losing the issue history already triaged.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $800 | One application, one error tracker, grouping, severity scoring, assignment | 5 to 10 days |
| Department package | from $2,300 | Exception triage plus performance regression alerts and post-release smoke tests | 2 to 4 weeks |
Running cost is usually $20 to $60 a month in model usage depending on exception volume.
Related
This pairs well with performance regression alerts for the slow-but-not-crashing side of the same codebase. It also pairs with the existing log triage automation, for the active-incident, raw-log side of error handling. For the deploy that likely introduced a new crash, see automated deployments with rollback.
Full package details are on the AI agents service page and the automation-everything overview. For how we handle error volume on our own products, see the ProBay AI agent team case study, a marketplace we are launching. The secure infrastructure case study covers a related setup.
Backlog full of exceptions nobody has sorted through? Get in touch and we will connect it to your error tracker.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How is this different from the log triage automation in your catalogue?
Log triage reads raw production logs and pages someone during an active incident. This works inside your error tracker, Sentry, Bugsnag or similar. It groups and assigns application exceptions day to day, incident or not, so bugs get fixed before they become one.
How much does exception triage automation cost?
From $800 for one application connected to one error tracker, live in 5 to 10 days. Multiple services or a larger engineering team usually run $1,500 to $2,500.
How does it know who to assign a bug to?
It checks git blame and recent commit history for the failing file and function, and assigns to whoever touched that code most recently. There is a fallback to a team-level default when no clear owner exists.
Will it close or dismiss bugs on its own?
No. It groups, dedupes, scores severity and assigns. Resolving or dismissing an issue is always a decision the assigned engineer or a lead makes.
Which error trackers does it work with?
Sentry, Bugsnag and Rollbar directly, or any error tracker with an API. It connects to your existing ticketing system too: Jira, Linear or GitHub Issues.