DevOps Paradox

#368: You're faster with AI. Your teammates are faster with AI. More tickets closed, more deployments going out than a year ago. So why can't anybody in the building answer a simple question: are we shipping more value?

Jeff's take is that the bottleneck didn't go away, it moved. Code got cheap. Deciding what to build, why, and whether it actually worked did not. That's not an engineering problem anymore. It's a product problem.

In...

#367: Every few weeks another pitch lands. A company with no employees, just a founder and an army of AI agents. Zero headcount. Zero payroll. Then the AI CMO hallucinates a marketing campaign and somebody has to catch it.

Viktor runs the numbers on his own one-person operation. He can review maybe five things a night. Want a hundred a day? That is nineteen more people. The math is not kind to the pitch.

In this episode, Darin and ...

#366: You ran npm install this morning. Maybe you ran it a dozen times. Every one of those pulled down a dependency tree you have never read, from a registry that spent years in maintenance mode, and then executed whatever preinstall and postinstall scripts happened to be in there. On your laptop. With your keys sitting on disk.

Trusted publishing, provenance, staged releases - all good, all recent, and none of it stops a package f...

#365: A bad engineer with a laptop is much worse than a bad engineer with a calculator. Now hand that engineer AI. DORA's ROI report puts it politely - AI without engineering excellence just scales your problems.

Except it's not more of everything. It's more of whatever you were already doing, and there's a statistical chance that what you're doing is bad. Your agent already read your flaky tests and decided that's the house style.

#364: Your CEO comes back from a leadership offsite talking about burnout-proof leadership and AI transformation at scale. Two weeks later you're working through lunch, you're working through dinner, and Slack never stops. Deployment frequency is up. Incidents are up worse.

So who was that program actually protecting?

In this episode, we speak with Dr. Victoria Mensch, Founder and CEO of the Silicon Valley Executive Academy, about ...

#363: Three waves of the web, and you are late for the third one. The 90s were about getting a browser to render your page at all. The early 2000s were about SEO, or as Darin puts it, sell me all the ads ready. Now it is agent ready, and Cloudflare built a scoreboard for it at [isitagentready.com](https://isitagentready.com/). The devopsparadox.com site scored about 70 out of 100 and then went down when Cloudflare added new checks....

#362: Feature flags or canary deployments - do you need both? Viktor puts it to Alex Casalboni from Unleash, who says he argues about this with his colleagues roughly every day, and the answer lands clean. Switching a hostname, a database, an API vendor? That is infrastructure, nothing to do with who the user is, so keep your canaries and your blue-green. But a canary switches one thing at a time. Try running three A/B tests and te...

#361: Picture a 6,000-line pull request landing in your project from someone you've never heard of. Every test passes - yours, theirs, all of it. And you can tell it was generated. Not assisted. Generated. What do you do with it? Viktor's first move is to poke the premise: how do you even know it was generated and not assisted? You can't. Nobody can. That distinction is already gone.

So the real question isn't whether AI wrote it. ...

#360: Assume your production systems go sideways at 3:00am. Your phone doesn't ring. You wake up to a clean incident report - the system caught the problem, fixed itself, and left a Slack note saying it handled things at 3:15. Would you trust it? Viktor wouldn't, not at first. Same as a new hire, a new tool, a new anything. Trust gets earned. A few months in, if it hasn't messed up, then maybe.

So what's actually new? We had self-h...

#359: When was the last time you sat through a 30-minute product demo and walked away actually knowing anything? You would learn more from five minutes hands-on than an hour of watching someone else drive.

Now you have help. An agent can watch the 30-minute video, play in the sandbox, read every page of the docs, and come back before you finish your coffee with a verdict - tried it, does not work, next. The agent is the new tire ki...

#358: Production is on fire. You need access to one table you have never touched. So you file an access request, then phone the desk to say you filed it, then Slack them to say you phoned, then walk over to say you Slacked. Twenty-five minutes later the incident has resolved itself and the customer has already left.

That is the setup, and Ofir Stein has lived the other side of it. He is the CTO and co-founder of Apono, and before t...

#357: Type a prompt, get code, fix the hallucinations, type another prompt. That is vibe coding, and it is a fine place to start. It is a terrible place to stay. So what comes next - and is spec-driven development actually it, or just waterfall wearing a new hat?

Here is the reframe that runs the whole conversation: everybody already works from a spec. Even the person who swears they are winging it has a spec in their head - which ...

#356: Fleet management means one thing to a DevOps engineer and something completely different to Tomas Kovacovsky. To Viktor it is a CD problem - a fleet of Kubernetes clusters he would rather not babysit. To Tomas it is hundreds of physical robots rolling around a warehouse, picking orders, dodging each other, and working very hard not to lose their connectivity.

Tomas is the CTO of Brightpick, where the robots are not the kind y...

#355: Picture your engineering team a year from now. A coding agent doing the coding. A testing agent on tests. A security agent on security. An infrastructure agent on infrastructure. All of them wired into GitHub and Jira, all of them working right alongside the humans. Not science fiction either - Atlassian and GitHub are already shipping these features.

So out come the stats everyone loves to quote. AI code introduces 1.7 times...

#354: How do you build a consent system for someone who is dead? How do you clone a voice so it cannot be turned into a deep fake? Miles Spencer built a company around those exact questions. Reflekta.ai lets you talk to a reflection of someone who has passed. His own father reads a bedtime story to his granddaughter every night and talks it through until she falls asleep, eight years after he died.

Is this just deep fake with bette...

#353: Move fast and break things never meant be reckless. It meant do not stall out of fear, because something is going to break no matter how careful you are. The part everyone dropped from the sentence is the part that actually matters: and fix things fast. Break faster, fix faster. Take the second half away and you are just breaking things.

So what changed with AI? An agent can take down a whole environment in the time it takes ...

#352: Vibe coding is the latest version of a promise the industry has been making since the first generation of programming languages. Type what you want, get an app. Jeff Kuo from Ragic has been working on the no-code version of that same promise for almost twenty years. He has thoughts on why the promise keeps not quite landing.

The honest answer is that AI-assisted coding is great for people who already know what the code is doi...

#351: Entry-level tech jobs are down 67% since 2022. Junior developer roles are down 40 to 50%. The instinct is to blame AI and call it unprecedented, but the layoffs are not the new part. The boom-bust cycle has happened before -- dot-com to dot-bomb, the 2020 hiring spree to the 2022 correction, now this. The new part is that the thing replacing the bottom of the ladder is not a cheaper human in another country. It is an agent th...

#350: The bottleneck used to be writing the code. Now it is feeding the agent enough context to write the right code. That is Patrick Debois' argument, and given that Patrick coined the term DevOps, it is worth paying attention when he says the discipline is shifting again. The model does not matter. The IDE does not matter. What matters is whether your team can capture the way you actually work and hand it to an agent that does no...