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To monitor a live application for post-deployment errors, you can use automated screenshot comparisons against pre-deploy baselines to detect visual changes and alert on anomalies. This approach catches console errors and performance regressions continuously.

Detecting performance regressions in a live web app is best achieved by taking periodic screenshots and comparing them against pre-deployment baselines. This visual comparison alerts you to anomalies and page failures quickly.

You set up post-deploy stability assurance by invoking an automated monitoring process that captures periodic screenshots and compares them against baseline images. This continuous monitoring alerts you to any newly introduced page failures.

Yes, you need Bash along with Read, Write, and Glob dependencies to run automated post-deployment monitoring. These components facilitate the execution of monitoring scripts and the management of baseline screenshots.

Yes, interactive prompts are supported during live application monitoring using the AskUserQuestion dependency. This allows for dynamic user interaction when anomalies or errors are detected during the post-deployment verification process.

A limitation of using screenshot comparison for error detection is that it primarily focuses on visual anomalies and page failures. It may not capture backend errors or network issues unless they manifest as visible visual changes in the live application.