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Artwork for Agentic AI in DevOps
Technology

Agentic AI in DevOps

Sirob Technologies

Insights on applying agentic AI to DevOps and software development automation, by practitioners at Sirob Technologies — the team behind B.O.R.I.S, the context layer for AI agents. https://www.getboris.ai

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  • 22 episodes
  • weekly
  • English

Episodes 22

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  • #2
    March 23 · length unknown

    #2 — The Tool Layer: What Makes Agentic AI Possible

    What happens when your AI coding assistant forgets what it was just working on? Andrey Devyatkin and Fernando Gonçalves break down context windows, how MCP servers can consume a large share of the session before the first message, and why over-specifying agent behavior in project rules often hurts output. Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai Episode page, show notes and links

  • #1
    March 17 · length unknown

    #1 — AI in DevOps, 2022 to 2026: From Autocomplete to Action

    What if most AI tools sold into DevOps fail because they only see part of the stack? In this first episode of Agentic AI in DevOps, Andrey Devyatkin and Fernando Gonçalves trace AI tooling from ChatGPT's launch in late 2022 through 2025: they treat context—not model hype—as the constraint, and explain why assistants cut off from source, logs, metrics, and docs tend to guess wrong under real operational load. Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai Episode page, show notes and links

Showing 21–22 of 22 episodes