Building agents (like software) is a deeply iterative process --> this is why we try to supply as much easy to use tooling and infra as poss…

Building agents (like software) is a deeply iterative process --> this is why we try to supply as much easy to use tooling and infra as possible so builders can start on their agent improvement journey asap storing and understanding traces is the fastest onramp to understand agent behavior and detect where your agents are messing up today. things like: - what are people asking my agents? - what actions are resulting in failed tool calls? - what kind of work is expensive to run today for our agents? can it be cheaper? once you mine trace data, you can "do something" to improve your agents - harness engineering - making evals - swapping models - post-training these are all levers we have to improve agent dev, but pretty much all of this is downstream of gathering and understanding traces at scale ship a v1 turn on tracing understand the traces and errors experiments loop Trace data is literally worth its weight in gold these days, if you know what to do with it! As has been established, creating effective agents requires shipping early, observing behavior, and iterating quickly. At the core of this are your agent traces capturing exact inputs, ou…

Source: Harrison Chase (X) | 2026-05-26