This post is for engineers building agentic harness — especially if you are thinking about tools, memory, evals, observability, and production reliability.

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[Armorer Labs]

For me the hardest part is the feedback loop between evals and observability.

Tool reliability, memory, and traces matter, but they become much more useful when every production run produces a receipt you can replay: task intent, tool calls, approvals/retries, final artifact, verifier result, cost/latency, and what changed after review.

That turns "the agent failed" into "this class of task fails when tool X returns stale state" or "handoffs fail after step 4". That is the layer we keep coming back to while building Armorer and Armorer Guard.

Disclosure: I work on Armorer Labs.

[Mrunmayee Rane]

What is the hardest part of productionizing agents in your experience: tool reliability, evals, memory, or observability?