Sentry Automation
One deploy turns into four thousand events of the same null check, and the three real regressions underneath it go unlooked-at until a customer writes in.
Digging for the regression that matters is not a good use of your morning. AI agents read the Sentry issue stream — grouping the noise, pulling the oldest event on each new error to find when it started, drafting the alert rule that would have caught it — and check with you before resolving or ignoring anything.
You
Where an agent picks up Sentry work
The parts of the day that interrupt you without needing your judgment.
Your agent separates the one loud error from the quiet new ones, groups what belongs together, and tells you which of them started with this release.
Instead of guessing from the event graph, your agent fetches the oldest event on the issue and matches it to the release that was live at the time.
Describe what should have paged someone and your agent drafts the alert rule, showing the threshold and the projects it applies to before you enable it.
Connected in a click, gated at the end
No service account to provision and no script to host. Your agent reads the state, proposes the change, and stops for a human.
Connect Sentry
One OAuth click. No tokens in a secrets manager, no bot account to create, no webhook endpoint to stand up and keep alive.
Your agent reads the real state
It pulls the current picture from Sentry before it proposes anything — so its suggestion reflects what is actually there, not a stale cache.
A human signs off on writes
Every change is drafted, shown with its diff, and held. Nothing lands in Sentry on an agent's own authority.
Nothing reaches production unreviewed
Read operations run freely. Anything that writes, merges, deploys, or pages someone waits for a person.
- 1Bulk mutations show the exact issue list before they run — no silent mass resolve.
- 2Alert and monitor changes come with the old and new thresholds side by side.
- 3Anything that would page an on-call engineer is released by a person, not the agent.
What your agent can do in Sentry
- Rank open issues by what is genuinely new since the last release
- Pull the oldest event on an error to date when it started
- Bulk resolve, ignore, or reopen issues once you sign off on the list
- Create and tune alert rules and cron monitors
- Tag a release and report what regressed in it
Three things to hand over first
Sort out a post-deploy spike
Your agent separates the one loud error from the quiet new ones, groups what belongs together, and tells you which of them started with this release.
Date an error properly
Instead of guessing from the event graph, your agent fetches the oldest event on the issue and matches it to the release that was live at the time.
Write the alert you keep meaning to add
Describe what should have paged someone and your agent drafts the alert rule, showing the threshold and the projects it applies to before you enable it.
A teammate, not another CI job
You could script this. Here is what changes when an agent does it instead.
Every record, reply, and update in Sentry is on you — and the queue never stops growing.
Your agent does the repetitive Sentry work and you just approve what matters.
Wiring up your own Sentry automation means code, hosting, credentials, and ongoing maintenance.
AgentOrg is fully managed — connect Sentry and your agent is working in minutes, nothing to maintain.
Rule-based tools fire blindly — no judgment, no context, and no approval step before they act.
Your agent understands your Sentry data, drafts the right action, and waits for your sign-off.
More integrations in developer tools
If your stack has more than Sentry in it, an agent can work across the rest of it too.
Datadog
Datadog alerts fire all night and by morning you can't tell the real incident from the noise.
GitHub
A pull request waits four days for review, and three new issues turn out to be the same bug filed three times.
GitLab
Four merge requests are waiting on a review, one of them failed the pipeline on a flaky end-to-end test, and you find all of this out during standup.
Supabase
You need one number out of production, so you open the SQL editor, write the join from memory, and hope the WHERE clause is right.
Vercel
Someone asks which build is live on staging, and answering it means three clicks per project across eleven projects.
Sentry questions, answered
What people ask before putting an AI agent to work — answered straight.
Creating and tuning them can be. Describe the condition you wish had fired — a spike in a specific transaction, a monitor that stopped checking in — and your agent writes the rule against your real projects. Enabling it is a click you make, because an alert nobody vetted is how a team learns to ignore alerts.
Ready to automate Sentry?
Connect your tools, put an agent to work, and approve what matters. Free to start.