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Check whether a GitHub deploy introduced new Bugsnag errors
For developers who want a deploy's new errors tied to the exact commit that shipped, by asking their AI assistant.
On this page
Connector
Connect GitHub, pick your AI tool and paste the prompt.
The problem
Matching deploys to errors by date gets it wrong
After a deploy you want to know if it introduced new errors, but GitHub knows the run and commit while Bugsnag knows releases and errors. Matching by date alone pulls in old errors that just appeared on a new version.
Without PopdockAI
- Note the commit from the GitHub run
- Find releases in Bugsnag around that date
- Sort new errors from old ones by hand
- Blame the deploy for errors it did not cause
With PopdockAI
- The run's workflow, commit, author and message are recorded
- Bugsnag releases built from that exact commit are found
- Errors first seen after each release are listed
- A one line verdict closes the report, and nothing changes
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Check whether the deploy from GitHub Actions run `{run-number}` on branch `{branch}` (defaults: the latest successful run, on main) introduced new errors in Bugsnag.
**Step 1: Find the run on GitHub**
Call `github-get-workflow-run` with `branch` set to `{branch}` (default main) and `conclusion` set to success. If `{run-number}` is given, also filter by `run-number`. Otherwise take the run with the latest created-date. If several workflows ran for the same commit, list their names and ask which one is the deploy, then stop.
Record name, run-number, sha, created-date, commit-author-name and commit-message.
**Step 2: Find the matching Bugsnag release**
Call `bugsnag-get-release` with `release-date.from` set to the run's created-date. Keep the releases whose source-control-revision equals the run's sha, or is a prefix of it. There may be one per Bugsnag project; keep them all.
**Step 3: Look for new errors in each matched project**
For each matched release, call `bugsnag-get-error` with `project-name` set to that release's project-name and `last-seen.from` set to the release-date. Keep errors whose first-seen-date is on or after the release-date.
**Step 4: Report**
* The deploy: workflow name, run number, branch, sha, author, first line of the commit message.
* Per project: release app-version and stage, errors-introduced-count, unhandled-sessions-count against total-sessions-count, and the new errors (error-class, severity, events, first-seen-date, error-url), most events first.
* A one-line verdict: clean, new handled errors only, or new unhandled errors.
**Rules & Guidelines:**
* `github-get-workflow-run` is on the github server. `bugsnag-get-release` and `bugsnag-get-error` are on the bugsnag server.
* This is read-only. Do not call `github-rerun-workflow-run`, `github-cancel-workflow-run`, `github-add-issue`, `bugsnag-create-error-issue` or any other Action tool. If new errors warrant an issue, suggest the `file-github-issue-for-error` prompt instead.
**Validation:**
* If no successful run matches, report the most recent run on the branch with its conclusion and stop.
* If no Bugsnag release carries the sha, say that the build was not reported to Bugsnag with source control information, and stop rather than matching by date alone.
* Errors seen within the first few minutes of a release can be old errors on a new version. Only count an error as new when its first-seen-date is after the release-date.Who it's for
One answer, three teams that use it
Developers
Know if your deploy broke something
Errors first seen after the release, with severity and events, show what your change introduced.
Did GitHub run 9182736 introduce any new Bugsnag errors?
SRE engineers
Spot new unhandled errors fast
A verdict of clean, new handled or new unhandled errors tells you how urgent it is.
Check the latest successful deploy on release for new unhandled Bugsnag errors.
Engineering managers
Review deploy quality
Session counts and errors introduced give you a quick read on each deploy.
Summarise new Bugsnag errors from the latest main deploy, with session counts.
How it works
What PopdockAI does when you ask
You give a run or use the latest successful one, and your AI assistant ties it to Bugsnag releases by commit. If no release carries the commit, it says so rather than matching by date.
01
Ask
You give a GitHub Actions run, or use the latest successful run on a branch.
02
Find
It records the run's commit and finds the Bugsnag releases built from it.
03
Check
It lists errors first seen after each release, with severity and events.
04
Report
You get a verdict of clean, new handled errors or new unhandled errors.
What PopdockAI provides
The tools behind the answer
Ready made tools for GitHub and one secure connection to your AI tool. No code, no exports.
github-get-workflow-run
bugsnag-get-release
bugsnag-get-error
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
Deploy errors tied to the exact commit
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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