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Judge a release by what it broke and what Jira is tracking
For engineering teams who want an honest view of a release's errors and the Jira work around it, without mistaking coincidence for cause.
On this page
Connector
Connect BugSnag, pick your AI tool and paste the prompt.
The problem
Releases get blamed for errors they did not cause
Judging a release means pulling session and error numbers, working out which errors happened on that build and scanning Jira for related work. Errors from older builds get blamed on the new one, and issues that merely moved that week look related.
Without PopdockAI
- Pull session and error numbers for the release
- Guess which errors happened on that build
- Scan Jira for anything updated that week
- Mistake coincidence for cause
With PopdockAI
- Errors are confirmed from the build's own events
- Jira issues link only when they carry an error id
- Each confirmed error is marked tracked or untracked
- A comparison with the last release, nothing changed
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Report the quality of release {app-version} of Bugsnag project {bugsnag-project-name}: the errors it introduced, and the Jira work in project {jira-project-key} that moved in the same window. Read-only.
**Step 1: Establish the release (bugsnag server)**
Call `bugsnag-get-release` filtered by project-name {bugsnag-project-name} and app-version {app-version}. Keep release-date, release-stage-name, errors-introduced-count, errors-seen-count, total-sessions-count and unhandled-sessions-count. If nothing comes back, list the recent app versions for the project and stop. If more than one build matches, use the earliest release-date and say so.
**Step 2: The errors since that release (bugsnag server)**
* Call `bugsnag-get-error` filtered by project-name {bugsnag-project-name} with last-seen from the release-date. Keep error-id, error-class, message, events, users, severity and status.
* Call `bugsnag-get-event` filtered by app-version {app-version} to confirm which of those errors actually occurred on this build. An error last seen after the release date did not necessarily occur on this version, so treat the event check as the evidence.
**Step 3: The Jira work in the same window (jira server)**
Call `jira-get-issue` filtered by project-key {jira-project-key} with updated from the release-date. Keep issue-key, summary, status, assignee and updated-date.
Then correlate: an issue whose summary contains one of the error ids from step 2 is a confirmed match. Everything else is only date-window context. Label the two apart and never present a date-window item as a confirmed link.
**Step 4: Report**
* A header line: version, release date, stage, sessions, unhandled session rate.
* Errors confirmed on this version, worst first by event count, each marked tracked or untracked in Jira.
* Jira issues updated in the window that are not linked to any of those errors, listed as context only.
* One closing line on whether this release looks better or worse than the release before it, using errors-introduced-count if you can read the previous release with `bugsnag-get-release`.
**Rules & Guidelines:**
* `bugsnag-get-release`, `bugsnag-get-error` and `bugsnag-get-event` are on the bugsnag server. `jira-get-issue` is on the jira server. Both servers, plus this one, must be connected.
* This prompt is read-only. Do not call `jira-add-issue`, `jira-add-issue-comment`, `jira-update-issue`, `bugsnag-fix-error` or `bugsnag-ignore-error`.
* Bugsnag and Jira share no key here except the error id in an issue summary. Say which correlations are by key and which are by time window.
**Validation:**
* If the version string in Bugsnag and the wording used in Jira differ in format, do not normalise them into a match. Report them as unmatched.
* If step 2 returns errors but no events for the version, report that the errors predate or postdate the build rather than attributing them to it.
* If Jira returns nothing in the window, say the window was quiet rather than implying no work was done.Who it's for
One answer, three teams that use it
Release managers
Review a release on evidence
See which errors truly came from the build and whether this release is better or worse.
How good was release 3.4.0 of Fabrikam Checkout? Check Jira project CHK.
Developers
See which new errors are tracked
Find confirmed errors from your release with no Jira issue yet.
Which errors from Contoso Storefront 5.1.2 are untracked in Jira project STORE?
Engineering managers
Report quality without noise
Share a release report that does not blame the build for older errors.
Give me a release quality report for Northwind Web 2.0.3 against Jira project NW.
How it works
What PopdockAI does when you ask
You name the version and both projects, and your AI assistant builds an evidence based release report. It keeps date only links apart and reads only.
01
Ask
You name the app version, the Bugsnag project and the Jira project.
02
Read
It reads release sessions and confirms errors from the build's events.
03
Correlate
It links Jira issues only by error id, the rest as context.
04
Report
You get errors, tracking status and a comparison with the last release.
What PopdockAI provides
The tools behind the answer
Ready made tools for BugSnag and one secure connection to your AI tool. No code, no exports.
bugsnag-get-release
bugsnag-get-error
bugsnag-get-event
jira-get-issue
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
An honest picture of what a release broke
Related use cases
More ways to put this data to work
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.

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