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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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Episodis

24 episodis

  1. #24 — Applying AI Agents to Infra Security with Mohit Bansal
  2. #23 — Git Hosting Has a Scale Problem. Do You?
  3. #22 — From Agent Traces to Better Evals with Nikita Kabardin
  4. #21 — 8 DevOps Jobs to Try With Decision Models
  5. #20 — Become an Agentic Engineer with Kaido Koort
  6. #19 — AI Doom Can Wait. Your Security Alerts Can’t
  7. #18 — AI Writes Code. What's Your Job? with Julien Bisconti
  8. #17 — DevOps Agents Need Context, Not More Tools
  9. #16 — How DevOps Makes AI Safe to Scale
  10. #15 — Can Origin and Entire Replace GitHub?
  11. #14 — Loop Engineering in DevOps
  12. #13 — cmux vs iTerm with Viktor Vedmich
  13. #12 — Semantic Layers, Context Layers, and Agents That Stop Guessing
  14. #11 — Base of Record for Intelligent Systems
  15. #10 — What Changed in Our Daily AI Workflow
  16. #9 — Code with Claude: Routines, Agents, and the AWS Catch
  17. #8 — DevOps Jobs Agentic AI Can Actually Do
  18. #7 — Agent Memory: When It Helps, When It Hurts, and How to Manage It
  19. #6 — The Big AI Squeeze
  20. #5 — Stop Your Agent Before It Breaks Prod
  21. #4 — Harness Engineering: What Claude Code Accidentally Taught Everyone
  22. #3 — Skills, Powers, SOPs
  23. #2 — The Tool Layer: What Makes Agentic AI Possible
  24. #1 — AI in DevOps, 2022 to 2026: From Autocomplete to Action