Connect Sentry to GitHub with an AI agent
An agent watches errors and regressions in Sentry, decides what matters, and opens an issue or comments in GitHub. Velaris connects Sentry and GitHub through its capability mesh, so you describe the outcome instead of drawing a trigger-and-action flowchart — and anything outbound or irreversible waits for your approval.
What you can automate
- Velaris can search issues and read stack traces in Sentry, judge what's worth acting on, and opens an issue or comments in GitHub — so the change is filed where engineering already triages.
- Move errors between two dev tools without re-keying them: the agent maps the fields itself and flags anything ambiguous instead of guessing.
- On a schedule or on a trigger, it can comment and triage (with approval) in GitHub from what it found in Sentry — every write logged, scoped and reversible.
How it works
- 1
Connect Sentry and GitHub
Authorize both tools with scoped access you control.
- 2
Say what you want
Describe the outcome in a sentence — no trigger/action graph to draw.
- 3
Set the approval tier
Reads run automatically; outbound or irreversible steps wait for your tap.
Common questions
Can Velaris connect Sentry to GitHub without code?
Yes. Connect both tools, then describe the outcome in plain language — the agent selects the right actions from the capability mesh itself. There's no flowchart to build.
How is this different from a Sentry-to-GitHub Zap or automation?
A rule fires the same way every time. An agent reads the Sentry context, decides whether it matters, and adapts what it does in GitHub — pausing for approval on anything outbound or irreversible.
Will it act in GitHub without asking me?
Only for read-only steps. Writes are logged, and anything destructive or outbound needs an explicit human approval — credentials are scoped to the run and expire with it.