Your software factory stops at deploy

Software factories use agents to build, test, review, and deploy code, but often lack a feedback mechanism for detecting and repairing failures after release. While reviews, tests, and CI reduce the cost of validating code before deployment, production monitoring is needed to quickly identify failures caused by real data, infrastructure, configuration, or user interactions that pre-release testing misses. Customer reports, logs, and metrics can be slow or incomplete signals, particularly for issues that do not produce errors, whereas synthetic browser monitoring can repeatedly test critical user flows and provide direct evidence such as failed steps, screenshots, traces, network logs, and root-cause analysis. Failed checks can trigger agent workflows through webhooks, allowing agents to triage incidents, collect evidence, correlate changes with deployments, propose code or monitoring updates, test fixes against preview environments, and open draft pull requests for review. Teams can determine how much autonomy to grant agents, from alerting and ticket creation to automated rollback or merging, but repository-based runbooks and production checks help create a closed-loop system that detects and responds to failures without waiting for customers to report them.

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