Put an AI agent to work inside Sentry
Connect Sentry in one click and delegate the error grind: an autonomous agent that triages new events, dedups issues, files well-formed tickets with real context, enriches alerts, and watches for regressions. You set the autonomy, it does the work.
4-day trial · Cancel anytime
Fleece AI connects to Sentry through managed OAuth and lets autonomous agents read issues, events, releases, and alert rules, inspect stack traces and breadcrumbs, and act on them. Agents combine Sentry with 3,000+ other apps — GitHub, Slack, Jira, Linear — so a new error becomes a well-formed, deduplicated ticket, a deploy becomes a release-health digest, and an alert arrives already enriched with who's affected and what changed.
At a glance
| Category | Developer |
|---|---|
| Availability | Pro plan and up — included in the 4-day trial |
| Connects to | 3,000+ apps via managed OAuth |
| Setup | Connect your tools — no code required |
| Autonomy | Suggest-only to fully autonomous, with approval gates |
| Pricing | 4-day trial (card required, no charge today), then paid plans |
By Loïc Jané · Updated June 11, 2026
What a Fleece agent does with Sentry
Sentry is where your production errors surface first — new issues grouped from raw events, tied to a release and an environment, with stack traces, breadcrumbs, and the count of affected users attached. The problem is rarely a lack of data; it's the triage. Someone has to read each new issue, decide whether it's a real regression or known noise, work out which deploy introduced it, and turn it into a ticket a developer can actually act on. A Fleece agent sits on top of that stream and does the triage under instructions you give it in plain language.
Under the hood the connection runs through managed OAuth — you authorize Sentry once, and Fleece handles tokens, scopes, and refresh securely. The agent can read issues and their events, follow the stack trace and breadcrumbs, look up the release and environment an error came from, check how many users are affected and when it was first seen, and read your alert rules. Event triggers let it react the moment a new issue is created or an alert fires — no polling — so triage happens while the error is still fresh rather than in a Monday backlog sweep.
What separates this from a Sentry alert rule or a webhook-to-Slack forward is judgment. An alert rule fires on a threshold and dumps a link; a Fleece agent reads the actual stack trace, recognizes that three new issues are the same root cause, checks which release and commit likely introduced it, drafts a GitHub or Linear issue with that context, and only pages a human when it matters. Because Fleece agents work as a hierarchy — a lead agent delegating to specialized child agents — one Sentry-facing agent can hand a data-analysis task to a child agent and report the finding back in the same thread.
What the agent can do in Sentry
Triage new errors
Reads incoming events, follows the stack trace and breadcrumbs, and separates a real regression from known noise before anyone gets paged.
File well-formed issues
Turns an error into a GitHub or Linear ticket with the stack trace, affected environment, user count, and likely offending release attached.
Dedup and group
Recognizes when several new issues share one root cause, links them, and files a single ticket instead of flooding the tracker with duplicates.
Enrich alerts
When an alert fires, adds who's affected, when it was first seen, the environment, and the related release or PR — so context arrives with the ping.
Release-health digests
After each deploy, summarizes new and resolved issues, error-rate movement, and crash-free sessions into a plain-language digest for the team.
Regression watch
Keeps an eye on resolved issues and flags the moment one recurs in a new release, reopening the ticket rather than letting it slip back in silently.
Automations engineering teams run on Sentry
These are concrete setups you can describe to a Fleece agent in plain language. Each one combines Sentry with other connected apps.
Turn new errors into tickets a developer can act on
When a new issue appears in Sentry, the agent reads the stack trace and breadcrumbs, checks the environment and affected-user count, and decides whether it's a real regression. If it is, it files a GitHub or Linear issue with that context, links back to the Sentry issue, and dedups against anything sharing the same root cause so the tracker never fills with copies of one bug.
Release-health digest after every deploy
After a deploy creates a new Sentry release, the agent compares error rates and crash-free sessions against the previous release, lists new and resolved issues, and posts a plain-language health digest to a Slack channel. If a release regresses sharply, it flags the offending version by name instead of leaving the team to read a dashboard.
Enrich alerts before they reach a human
When a Sentry alert rule fires, the agent doesn't just forward the link. It gathers who's affected, when the issue was first seen, the environment, and the release or PR that likely introduced it, then posts an enriched summary to Slack and, for on-call incidents, opens a tracked issue in Linear with the same context attached.
Watch for regressions on resolved issues
The agent keeps a list of recently resolved issues and watches new events against it. The moment a resolved error recurs in a later release, it reopens the linked Jira ticket, transitions it back to in-progress, notes which release the regression appeared in, and pings the owner — so a fixed bug quietly coming back doesn't go unnoticed for a sprint.
How to connect Sentry to Fleece AI
Create your Fleece account
Sign up and start the 4-day trial. Your Sentry agent, its flows, and every other integration live together in one workspace.
Connect Sentry via managed OAuth
Pick Sentry from the integrations catalog and authorize it in one click. Fleece manages tokens and scopes for you; you can revoke access at any time from Sentry or from Fleece.
Describe the job in plain language
Create an agent and tell it what to do — "triage new production issues, file real regressions as Linear tickets with context, and post a release-health digest to #eng after each deploy". No flowchart building required.
Set autonomy and approval gates
Choose what the agent may do on its own and what waits for your sign-off. Let it triage and enrich freely while ticket creation or reopening pauses for one-click approval if you prefer.
Run it on triggers or a schedule
Let the agent react to new Sentry issues and firing alerts in real time, or schedule recurring flows — a daily error digest, a post-deploy release check — that run without you.
Sentry works better with the rest of your stack
Sentry automations get powerful when they cross app boundaries. Pair Sentry with GitHub to turn errors into issues linked to the offending commit, with Linear or Jira to keep the tracker in sync as regressions come and go, or with Slack to put enriched alerts where the team already reacts — all through the same agent, all under the same approval rules. Fleece connects to 3,000+ apps, so the engineering stack you already use is almost certainly covered.
Frequently asked questions
Only if you allow it. You set approval gates per agent: reading and triaging events can run automatically, while actions like creating a ticket, reopening an issue, or resolving one can pause for your one-click sign-off. You choose the autonomy level per action and can tighten it at any time without touching the rest of the setup.
The connection uses managed OAuth: you authorize Sentry once through the official consent screen, and tokens are stored and refreshed securely — you never paste API keys. Access is scoped to what you grant, revocable from either side at any time, and security-relevant actions are recorded in an audit log you can review whenever you need to.
Yes. Event triggers fire the moment a new issue is created or an alert rule fires in Sentry, so triage, enrichment, and ticket creation happen while the error is fresh rather than in a nightly batch. You can combine real-time triggers with scheduled flows — instant triage plus a daily error digest, for example.
Alert rules fire on a threshold and forward a link. A Fleece agent reads the actual stack trace and breadcrumbs, recognizes duplicates, works out which release introduced the error, and files a well-formed ticket — deciding what deserves a human's attention. Rules tell you something happened; the agent reads it, judges it, and turns it into tracked, contextual work.
Sentry is part of the Pro tier — available on Pro and Business plans (Pro unlocks 1,000+ apps, Business the full 3,000+ catalog); you can try it during the 4-day trial of those plans. Starter covers about 20 essential apps, so Sentry sits one tier up from there.
Yes — that's the core design. One agent can triage an issue in Sentry, file it in GitHub, mirror it into Linear, and post the enriched alert to Slack in a single run. For bigger jobs, a lead agent can delegate to specialized child agents — a data agent to analyze error trends, for instance — and report the outcome back.
Runs are recorded step by step, so you can see exactly what the agent read and did. Failed flows retry sensibly and pause themselves after repeated failures instead of looping, and you're notified so nothing fails silently. A rate-limited read is retried rather than dropped, so triage resumes without you re-running it by hand.
The agent reads the stack trace and Sentry's own issue grouping, recognizes when several new events or issues share one root cause, and links them to a single ticket instead of opening one per event. If a matching issue already exists in GitHub or Linear, it comments on that one rather than creating a near-duplicate the team has to merge later.
Go deeper on the blog
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Connect Sentry in one click, describe the job in plain language, and let an autonomous agent triage errors, file clean tickets, and watch for regressions. 4-day trial, cancel anytime.
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