Software knows exactly what’s happening right before it fails. Then it crashes, and that understanding disappears. Errorcore preserves that moment, the runtime context around the failures. Instead of debugging from logs and stack traces, humans and AI get the runtime evidence behind the failure, so they can understand what happened and fix it faster. We’re turning production failures from mysteries into evidence, getting recovery time down from hours to minutes.

I’ve spent a lot of time building and debugging software close to production, and one thing kept bothering me. When something fails, the system usually had all the context needed to explain it seconds earlier, but we throw most of that context away. So debugging becomes reconstruction. Logs, traces, stack traces, guesses. Errorcore came from wanting to change that. Preserve the runtime evidence around a failure so engineers and AI can understand what actually happened, not just where the code broke. We’re starting with production failures, but the bigger idea is making software execution itself easier to understand. Would love feedback from anyone who has dealt with painful production bugs.

what s the hardest production bug you ve had to debug even though you already knew where it failed?

that gap is what we re building errorcore around. logs and traces usually tell you where something broke. we re interested in the cases where you still have to reconstruct the state and execution that actually caused it.

curious how other teams deal with those today, let me know what you guys do in those cases!

what s the hardest production bug you ve had to debug even though you already knew where it failed?

curious how other teams deal with those today, let me know what you guys do in those cases!

Errorcore

Runtime context layer for production failures

Runtime context layer for production failures

Forum Threads

when you know where it broke, but not why

Forum Threads

when you know where it broke, but not why