Insights on B.O.R.I.S - The Context Layer for Infrastructure

#17 — DevOps Agents Need Context, Not More Tools

Mon, 31 Aug 2026 00:00:00 +0000

Summary

Two recent launches and an existing cloud-review workflow all showed up in the same news cycle, and by default not one of them knows what is running in your production accounts. This trend-check episode of Agentic AI in DevOps, recorded August 14 with Andrey Devyatkin, Vladimir Samoylov, and Fernando Gonçalves, opens as a news roundup — Grok 4.6 arriving inside Cursor at $2/$6 per million tokens, Anthropic’s Claude Tag replacing the old Claude in Slack chatbot, cloud agents reviewing pull requests from a one-line comment — and keeps arriving at the same structural gap behind all three: each of these tools runs somewhere your infrastructure isn’t, so unless something hands it the estate it either rediscovers everything from scratch every session or guesses. Andrey’s name for the work that keeps repeating is orientation, and the fix he argues for is a context layer that is pre-computed, refreshed automatically, queryable through one interface, and portable across every harness a team rents. The sharp moments earn the half hour: Vladimir treating frontier models like a supermarket shelf — “whatever is on promotion today on Cursor… today is a Grok, tomorrow it’s some Sonnet”; Andrey’s verdict that with SpaceX’s compute behind Cursor, “suddenly Elon is back in the game”; Vladimir on why evidence beats fluency in bug bounty triage — “the model will hallucinate, but the context can actually prove it”; and the line that reframes the whole product category, straight out of the physical-datacenter era: this is the configuration database of the agentic age.

#16 — How DevOps Makes AI Safe to Scale

Fri, 14 Aug 2026 00:00:00 +0000

Insights on B.O.R.I.S - The Context Layer for Infrastructure

#17 — DevOps Agents Need Context, Not More Tools

Summary

#16 — How DevOps Makes AI Safe to Scale

Summary

#15 — Can Origin and Entire Replace GitHub?

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#14 — Loop Engineering in DevOps

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#13 — cmux vs iTerm with Viktor Vedmich

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#12 — Semantic Layers, Context Layers, and Agents That Stop Guessing

#11 — Base of Record for Intelligent Systems

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#10 — What Changed in Our Daily AI Workflow

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#9 — Code with Claude: Routines, Agents, and the AWS Catch

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#8 — DevOps Jobs Agentic AI Can Actually Do

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#7 — Agent Memory: When It Helps, When It Hurts, and How to Manage It

#6 — The Big AI Squeeze

Key Topics

The Vercel–Context AI Supply Chain Breach

#5 — Stop Your Agent Before It Breaks Prod

Key Topics

News: Anthropic’s April Blitz — Managed Agents, Routines, Opus 4.7, and the Advisor Tool

#4 — Harness Engineering: What Claude Code Accidentally Taught Everyone

Key Topics

NVIDIA OpenShell and the Agent Containment Problem

From Frustration to Product: The Story of B.O.R.I.S

#3 — Skills, Powers, SOPs

Key Topics

The Cursor pricing wake-up call

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

Summary

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

Summary