Episode

AI-Monitored Release Processes: A Log Anomaly Checker (Ep. 172)

Podcast
Never Rewrite: Software Engineering & AI Coding
Published
Sep 11, 2026
Duration seconds
606
Processing state
not_requested
Canonical source
https://api.riverside.com/hosting-analytics/media/f5849b8f416f18e5f0f977aa85ec0d082b1f7c702ff1509baf3efcd58bc4ff61/eyJlcGlzb2RlSWQiOiIzYzcxYTE5ZC02NWZhLTRhMjYtYmVkNi03OTNhYjEyNzI2MjgiLCJwb2RjYXN0SWQiOiI3YTA3YTNiYS0wNzY2LTQzOTUtOTFlNy01MTFkZmM5MmEzZjAiLCJhY2NvdW50SWQiOiI2NTBkZGJjZDU5NTYwNGVjYjNiMTRmZmIiLCJwYXRoIjoibWVkaWEvY2xpcHMvNmFhMWI2MjFjNmI3ZTQ2ZGZiMTRkODcwL25ldmVyLXJld3JpdGUtMjAyNi05LTlfXzE5LTQwLTE3Lm1wMyJ9.mp3
Audio
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JSON
/v1/public/podcasts/never-rewrite-software-engineering-ai-coding-6208168/episodes/ai-monitored-release-processes-a-log-anomaly-checker-ep-172
Markdown
/podcast/never-rewrite-software-engineering-ai-coding-6208168/ai-monitored-release-processes-a-log-anomaly-checker-ep-172.md

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Summary

In this episode, Jeffrey Sherman and Isaac Askew explore how AI can monitor release processes by analyzing error logs, detecting anomalies, and improving deployment confidence. They discuss practical tools, strategies, and the potential for automation in system monitoring.