Agentic AI in DevOps
by Sirob Technologies
Latest episode
#25 — 5 Building Blocks for Agents That Run on Their Own
#25 — 5 Building Blocks for Agents That Run on Their Own
About this podcast
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
Episodes
The newest 20 of 25 episodes
- #25 — 5 Building Blocks for Agents That Run on Their Own · Episode 25Deploy checks, failing pipelines and overnight alerts keep arriving after the laptop closes. Giving those jobs to an unattended agent takes shared context, visibility into its…
- #24 — Applying AI Agents to Infra Security with Mohit Bansal · Episode 24A malicious package lands, and production scans only answer part of the question. Developer laptops may already hold it, while security teams spend hours finding out where…
- #23 — Git Hosting Has a Scale Problem. Do You? · Episode 23Agents can produce pull requests faster than teams can review them, even while Git stays fast. Hosting platforms face real scaling pressure, but most teams hit other limits…
- #22 — From Agent Traces to Better Evals with Nikita Kabardin · Episode 22An agent can pass its evals and still disappoint customers. Production traces help only when someone turns real successes and corrected failures into tests worth trusting. Andrey…
- #21 — 8 DevOps Jobs to Try With Decision Models · Episode 21An 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…
- #20 — Become an Agentic Engineer with Kaido Koort · Episode 20Claude Code can produce more code than an engineer can comfortably review. Trusting that output takes a repeatable workflow, protected learning time and checks that catch a…
- #19 — AI Doom Can Wait. Your Security Alerts Can’t · Episode 19Security alerts keep piling up while AI doom dominates the headlines. LLMs can help sort the queue, but useful triage depends on evidence, limited access and spending controls…
- #18 — AI Writes Code. What's Your Job? with Julien Bisconti · Episode 18AI writes the code, yet engineers end the day buried in reviews and unsure what shipped. Andrey Devyatkin, Vladimir Samoylov and Fernando Gonçalves talk with Julien Bisconti…
- #17 — DevOps Agents Need Context, Not More Tools · Episode 17Your agent can call every tool you give it and still not know which account a service runs in, what depends on it, or what changed last week. So every session starts with the…
- #16 — How DevOps Makes AI Safe to Scale · Episode 16AI adoption stalls when licenses and quotas replace trust, context, and verification. Fernando Gonçalves and Vladimir Samoylov explain how DevOps makes agentic coding safe to…
- #15 — Can Origin and Entire Replace GitHub? · Episode 15GitHub outages and agent-scale workloads are exposing the limits of centralized development platforms—learn where Cursor Origin and Entire could help, and which bottlenecks they…
- #14 — Loop Engineering in DevOps · Episode 14Loop engineering solves the coding-agent babysitting problem by giving DevOps teams a way to run larger tasks with evidence, constraints, and a clear definition of done. Andrey…
- #13 — cmux vs iTerm with Viktor Vedmich · Episode 13cmux terminal workflows: when iTerm slows down AI-agent work, Viktor Vedmich shows how workspaces, session restore, and socket APIs make Claude Code more practical. Andrey…
- #12 — Semantic Layers, Context Layers, and Agents That Stop Guessing · Episode 12Two 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…
- #11 — Base of Record for Intelligent Systems · Episode 11The hosts of Agentic AI in DevOps make the case that the "second brain" idea — long a personal-productivity meme — is exactly what AI agents need to be useful inside a real…
- #10 — What Changed in Our Daily AI Workflow · Episode 10In a less-structured episode, the hosts of Agentic AI in DevOps compare day-to-day workflows: what they actually run, what they have stopped doing, and how their habits have…
- #9 — Code with Claude: Routines, Agents, and the AWS Catch · Episode 9Anthropic's Code with Claude developer conference in San Francisco on May 6, 2026 dropped a wave of platform features aimed squarely at coding teams, and the hosts walk through…
- #8 — DevOps Jobs Agentic AI Can Actually Do · Episode 8After seven foundation-laying episodes, the hosts of Agentic AI in DevOps take the practitioner's tour: which DevOps jobs agentic AI actually does well, and which still fight…
- #7 — Agent Memory: When It Helps, When It Hurts, and How to Manage It · Episode 7Your AI agent just forgot everything. Again. You taught it your stack, your conventions, your preferences — and tomorrow it wakes up like it never happened. Memory is supposed to…
- #6 — The Big AI Squeeze · Episode 6LLM subsidies are drying up, subscription limits are tightening, and the astronomical data center CapEx has to be paid by someone — spoiler: it is you. In this episode, Fernando…
