axiom.ai + GitHub Integration

You're reviewing bug metrics across repositories but your tracking reports only update when someone manually exports issues, so the row counts you're optimising against are always a few hours behind — with this integration, every new issue lands in your sheet instantly and your data stays current.

You need to act fast when pull requests open, but you find out about broken builds too late because deployment checks require manual browser verification — this integration means every pull request triggers automated tests instantly and your deployment pipeline stays unblocked.

You answer to stakeholders who want to see daily release progress, but compiling changelogs and updating tracking boards by hand takes hours of tedious copy-pasting — automating both apps means every release generates structured notes automatically and your project boards update themselves.

The volume of incoming bug reports is too high for anyone to keep up by hand, leaving support tickets sitting unverified while developers wait for reproduction details — connecting these apps means every new issue triggers automated browser diagnostics and your team gets instant context.

You own the coding step and depend on someone upstream to hand over clean reproduction steps, but missing test details leave you guessing — with this integration, every issue arrives with automated test results attached and your development work starts immediately.

You need a reliable audit history of every deployment, but manual record-keeping keeps finding gaps in your release logs and tracking spreadsheets — automating both apps means every release and branch event is recorded precisely and your deployment history has zero gaps.