When Persistence and Scheduling Are Runtime Primitives Not Bolt-Ons
Building stateful agent systems requires runtime ownership of persistence and scheduling.
Building stateful agent systems requires runtime ownership of persistence and scheduling.
Grouping traces reveals failures that reviewing individual runs cannot detect or diagnose.
Linking inference steps to quality outcomes turns production failures into systematic improvements.
Span-per-tick tracing captures reasoning, tool use, and decisions that standard monitoring misses.
Teams need stable task IDs and gateway tagging to track agent costs across retries and delegation.
Formal contracts define what agents must preserve at API boundaries—and enforce them at runtime.
Agents need a centralized control layer to handle shared rate limits safely.
Precise tool contracts prevent silent failures and make agent reasoning recoverable.
Agent deployments need schema versioning as infrastructure, not application logic.
Agents need dedicated identities and per-call delegation tokens, not shared service accounts.
How to design incident reports for autonomous agents that act in the real world.
Chaos engineering needs rebuilding to catch agent failures that look correct.