Tag: platformengineering
-
A platform for normie AI developers
Summarized by AI. This is a CTO’s ninety-day report on a program he runs, given at a platform engineering conference, and it’s the rare one where the interesting part is the architecture rather than the number. SIXT’s problem was the long tail: thousands of small, country-specific process problems that no engineering roadmap would ever fund.…
-

“Servant Leadership” in the AI era
“I was the manager, the purchaser, the kind of overall architect. And then Claude was the senior engineers in all the different domains.”
-

Using AI to play Role Playing Games – Building tools to play Dungeons and Dragons is playing D&D…?
I wanted to see how much time I spend playing D&D with AI versus building the tooling for playing D&D with AI. Charted across 4,245 conversations back to 2023: harness building goes from 5% to 53%. The cobbler’s curse – you love making shoes so much you never walk around in them.
-

Platform as a Product, 9 years later
Nine years after the platform as a product paper first came out, Caleb Washburn and I went through what changed. The answer is mostly “not much,” and the good bit is why developers keep asking for Kubernetes clusters they don’t actually want.
-
Reframing the AI-native SDLC in terms of stewardship boundaries
To make AI agents succeed, we must inject very clear, tightly constrained context. This is where the platform patterns we popularized in Team Topologies become essential. A well-designed internal platform acts like a “vending machine,” providing self-service, reliable access to clean data, APIs, and operational capabilities. By reducing cognitive load on human teams and narrowing…
-
Bridging the IT Chasm: A Strategic Blueprint for Platform Engineering 2.0
Using VMware’s private cloud stack, VCF, to make a usable platform with Kubernetes. 🔗 Bridging the IT Chasm: A Strategic Blueprint for Platform Engineering 2.0
-

AI ends up like spreadsheets – Software Defined Talk #124 with Bryan Ross
I’m old enough to remember how much time and agony we spent explaining to managers the importance of context switching for developers, and how they should have meeting free Fridays… And now the same people that we’re trying to help are bragging about how distracted they are. Bryan Ross, SDI #124. Check out this week’s…
-
Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success
Research from Perforce Software finding that platform engineering maturity is an important factor in whether organizations can turn AI adoption into sustainable operational value. Summarized by AI. 🔗 Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success
-
Navigating regulated scale: How Fiserv hones golden paths for 7,500 developers
Platform engineering usually argues that developer cognitive load is the enemy. The claim here, from a company with 16,000 technologists split evenly between people who write code and people who keep it running, is that a large organisation has already solved that – by hiring a layer of specialists to absorb it, which feels better…
-
Platform Engineering 2.0: The Evolution of the AI Era
The same five-pillar argument as the Platform Engineering 2.0 white paper, but in conversation and with two things the slide deck does not say out loud: that the internal developer platform is becoming an agent developer platform serving dozens of machine consumers per human, and that virtual machines – pushed off the golden path entirely…
-
Enabling Platform Engineers to Overcome Kubernetes Complexity with a Modern Private Cloud Platform
Kubernetes won the orchestration argument and promptly became the problem, and the scarce skill is now hiding it rather than running it. With 93% of organisations on an internal developer platform or heading there inside a year, the case made is that one operating model spanning VMs and containers is the least painful place to…
-
The Evolution to Platform Engineering 2.0
Platform engineering succeeded so completely that the platform most enterprises already run is now the constraint: built for one persona, before AI workloads, autonomous agents and GPU scheduling. The proposed fix is to push security, cost awareness and AI readiness down into the platform as defaults rather than onto developers, which makes infrastructure the strategic…
-

DIY Platform – don’t do it
Here’s the 15 minute version of my overview of why you should buy your platform instead of building it. It’s based on the paper I co-authored on the topic. You can find the slides here, and there’s also a longer version of the talk from cfgmgmtcamp 2026. If you want to see more of my…
-

How AI change your software development organization
A catch-up with Purnima Padmanabhan, GM of the Tanzu Division at Broadcom, on what her team has actually learned shipping enterprise software with AI for the last year and a half: code generation is the small part, beautiful code is the new uncanny valley, and you cannot solve the agent boundary problem from inside the…
-
“PE 2.0”
We are seeing a distinct movement where infrastructure is being reclaimed as a first-class platform concern. In the early days, platform engineering focused heavily on developer experience, often treating the underlying infrastructure as a utility that was managed separately. That is no longer sufficient. To succeed in the AI era, platform teams must have deep…
-
Patching CVEs at AI speed is a platform engineering problem
AI-assisted vulnerability discovery cut the gap from CVE published to weaponized exploit from weeks to hours. Quarterly patch windows and hand-rolled CVE spreadsheets are no longer a defensible posture.

You must be logged in to post a comment.