Reliability

The live demo repo for this series is 67ailab/harness-engineering, and for this post I did change the repo before publishing. The new capability shipped in commit 9612b58, which adds persisted run summaries plus replay-oriented history inspection to the existing approval-gated harness. The key changes are in src/harness_engineering/store.py and src/harness_engineering/cli.py. That addition matters because durable execution is where most agent demos quietly stop being honest. It is easy to show a model calling tools in one uninterrupted run. It is much harder to explain what happens when execution pauses for approval, the process dies, the machine reboots, the reviewer returns malformed output, or an operator needs to understand what state the run is actually in. ...

It is relatively easy to build an SRE agent that can solve a single, well-defined problem in a demo environment. You give it a prompt, access to a few tools, and watch it restart a pod or query a log file. It feels like magic. But taking that agent and asking it to run 24/7, monitor thousands of services, handle concurrent incidents, and never hallucinate a destructive command is a different engineering challenge entirely. It moves us from the realm of “AI scripting” to distributed systems architecture. ...