Agentic AI in DevOps, without the hype
Weekly perspectives from engineers building and running AI on real infrastructure.
#12 — Semantic Layers, Context Layers, and Agents That Stop Guessing
Why agents need live system context and shared meaning before they can act with confidence.
Two terms keep colliding in infrastructure AI: semantic layer and context layer. They're not the same thing, and conflating them is how teams end up with agents that understand vocabulary but have no idea what's actually running — or agents that know the environment but still guess wrong about what the data means.
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#11 — Base of Record for Intelligent Systems
Why AI agents need a second brain before they can safely understand engineering systems.
10 min read
#10 — What Changed in Our Daily AI Workflow
Three engineers compare the habits, guardrails, and timing shifts reshaping everyday AI work
9 min read
#9 — Code with Claude: Routines, Agents, and the AWS Catch
Anthropic’s coding push gets real, but its new AWS route hides a compliance trap.
9 min read
#8 — DevOps Jobs Agentic AI Can Actually Do
Where agentic AI helps DevOps today, and where state, cost, and production risk still block it.
8 min read
#7 — When Agent Memory Helps and When It Hurts
Why persistent memory can make agents smarter, stranger, and easier to mislead
5 min read
#6 — The Big AI Squeeze
As AI discounts fade, teams face the real economics of subscriptions, local models, and sustainable automation.
12 min read
#5 — Stop Your Agent Before It Breaks Prod
How hooks turn unpredictable coding agents into controlled, auditable workflows
11 min read
#4 — Harness Engineering: What Claude Code Accidentally Taught Everyone
Why the tool layer, not the model alone, decides whether coding agents deliver or derail
7 min read
From Frustration to Product: The Story of B.O.R.I.S
How a broken experience with AI CLI tools led us to build an AI DevOps teammate that actually knows your infrastructure.
5 min read
#3 — Skills, Powers, SOPs
Agent skills sound like magic until someone uploads malware to the public hub.
7 min read
#2 — The Tool Layer: What Makes Agentic AI Possible
Context windows, MCP overhead, and why micromanaging your AI agent makes it worse.
7 min read
#1 — AI in DevOps, 2022 to 2026: From Autocomplete to Action
How AI went from clever autocomplete to agents that can act on your infrastructure — and why context is the missing piece.
7 min read