[nojs]

interesting. yeah the only reason it’s on cron is because the sentry-github integration didnt work for this (can’t remember why), and i didnt want to maintain another webhook.

the timing is not a huge issue though because the type of bugs being caught at this stage are rarely so critical they need to fixed in less time than that - and the bandwidth is limited by someone reviewing the PR anyway.

the other issue is crazy token wastage, which gets expensive. my gut instinct re triaging is that i want to do it myself in the prompt - but if it prevents noise before reaching claude it may be useful for some folks just for the token savings.

no, I don’t receive alerts because i’m looking at the PR/issues list all day anyway, it would just be noise.

[Dimittri]

totally get the 'token wastage' point—sending noise to an LLM is literally burning money.

but an other maybe bigger cost might be your time reviewing those 'bandaid fixes.' if you're merging only 30%, that means you're spending 70% of your review bandwidth on PRs that shouldn't exist right?

we deduplicate before the claude analysis with the alert context and after based on the rca so we ensure we have no noise in the PRs you have to review

why don't you trust an agent to triage alerts+issues?

[nojs]

Yeah. what I find in practice is that since the majority of these PRs require manual intervention (even if minor, like a single follow up prompt), it's not significantly better than just hammering them all out in one session myself a few times per week, and giving it my full attention for that period of time.

The exception is when a fix is a) trivial or b) affecting a real user and therefore needs to be fixed quickly, in which case the current workflow is useful. But yeah, the real step-change was having Claude hitting the Sentry APIs directly and getting the info it needs, whether async or not.

I'd also imagine that people's experiences with this vary a lot depending on the size and stage of the company - our focus is developing new features quickly rather than maintaining a 100% available critical production service, for example.