درباره این اپیزود
AI adoption stalls when licenses and quotas replace trust, context, and verification. Fernando Gonçalves and Vladimir Samoylov explain how DevOps makes agentic coding safe to scale through checkable starter tasks, organization-specific context, independent tests, Terraform plans, and deterministic gates—while exposing why token metrics, AI-written tests, and advisory Markdown can create false confidence.
Episode page (show notes and links): https://getboris.ai/insights/016-how-devops-makes-ai-safe-to-scale/
Episode page (show notes and links): https://getboris.ai/insights/016-how-devops-makes-ai-safe-to-scale/
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جستجوی اپیزودهای گذشته
اپیزودهای قبلی Agentic AI in DevOps را جستجو کن.
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