
Agentic AI in DevOps · Friday
#21 — 8 DevOps Jobs to Try With Decision Models
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An alert needs triage, a ticket needs a duplicate check, and a frontier LLM is generating answers for both. Decision models could make those routine checks cheaper, provided the thresholds and gates stay in code.
Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves explore Jev, eight DevOps use cases, agent tool hooks, probability thresholds and local alternatives, including where classifiers fall short.
What you will learn:
- How decision models differ from LLMs with structured output
- Why uncertain probabilities belong in a review band around 0.5
- How pre-tool and post-tool hooks can filter expensive agent work
- Where alert triage, duplicate detection and GraphRAG could benefit
- Why classifier checks cannot replace permissions or deployment policy
Maybe try B.O.R.I.S, our context layer for AI agents: https://www.getboris.ai
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