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Loop engineering solves the coding-agent babysitting problem by giving DevOps teams a way to run larger tasks with evidence, constraints, and a clear definition of done. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves unpack outer loops around agents, context-window limits, unattended runs, greenfield versus brownfield work, alert batching with SNS and SQS, model mixing, token costs, and why bad code still gets worse when you automate it faster.
Episode page (show notes and links): https://getboris.ai/insights/014-loop-engineering-in-devops/
Episode page (show notes and links): https://getboris.ai/insights/014-loop-engineering-in-devops/
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جستجوی اپیزودهای گذشته
اپیزودهای قبلی Agentic AI in DevOps را جستجو کن.
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