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DevOps agents can call every tool and still miss what is running in production; a portable context layer gives reviews, security triage, and automation evidence they can trust. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves connect Grok 4.6 in Cursor, Claude Tag, cloud code review, and AI-driven bug bounty noise to the same orientation tax. They explain why live infrastructure state belongs in an automatically refreshed database rather than skills or vendor memory, and how owning that context improves accuracy, cost control, and portability across agent platforms.
Episode page (show notes and links): https://getboris.ai/insights/017-devops-agents-need-context-not-more-tools/
Episode page (show notes and links): https://getboris.ai/insights/017-devops-agents-need-context-not-more-tools/
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TÌM KIẾM CÁC TẬP TRƯỚC
Tìm kiếm các tập trước của Agentic AI in DevOps.
CÁC TẬP KHÁC TRONG PODCAST NÀY
cmux terminal workflows: when iTerm slows down AI-agent work, Viktor Vedmich shows how workspaces, session restore, and socket APIs make Claude Code more practical. Andrey Devyatkin and Fernando Gonçalves talk with Viktor Vedmich about his terminal-first agentic stack, Obsidian vault setup, Claude …
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 r…
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 r…
GitHub outages and agent-scale workloads are exposing the limits of centralized development platforms—learn where Cursor Origin and Entire could help, and which bottlenecks they cannot fix. Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves examine AI-native Git forges, distributed mirrors…
If you work in data, "semantic layer" means one precise thing: the place where "active customer" or "recurring revenue" gets defined once so every dashboard agrees. If you build agents, the word starts doing two jobs at once — and a second term, "context layer," shows up claiming the same ground. T…
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