Every developer knows how to ship an AI agent. The harder question — what everyone quietly avoids — is what happens after it lands in production and starts failing. Silently. Frustrated users churn, tool calls break in ways that never surfaced in testing, and your only recourse is grepping logs and guessing. DigitalOcean just fixed that. On October 12, DigitalOcean announced Agent Learning Services: a three-product feedback loop that watches your agents fail in production, surfaces the sessions worth debugging, and lets you validate a fix against those real failures before you ship it. All of this runs on top […]
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source & further reading
byteiota.com — original article
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