Longevity data from the CDC, why CIOs keep missing AI infra costs, and what agentic AI can actually learn from low-code and fintech failures. Plus: vibe coding’s limits, the end of the AI “free lunch,” and what platform teams can do about it.
Posts in "tech"
Here are the slides for the talk I’ll be giving at @cfgmgmtcamp.bsky.social later today, at 2pm. It’s based on the DIY pitfalls paper I revised recently.
#CfgMgmtCamp #PlaformEngineering
How much does it cost to build an internal developer platform? - Tanzu Catsup
This week’s Tanzu Catsup is about how much you need to pay people to build your own internal developer platform:
I think building your own platform is a terrible idea, especially for larger organizations. My co-host Tony ran the platform for Home Depot and now talks with other platform teams a lot, so I wanted to get his take.
Here’s an excerpt if you prefer something shorter.
This is our seventh episode, and they’re getting better and better.
Enterprise ROI is elusive - maybe ROI is just headcount chopping, not revenue growth and "transformation"
AI implementation in organizations currently focuses on efficiency rather than transformative growth, leading to a disconnect between productivity improvements and financial accountability.
Internal Developer Platforms - Build vs. Buy
“Don’t build something if you can buy it.” Building a bespoke internal platform should focus on specific organizational needs rather than replicating available market solutions.
Kubernetes use rising, large organizations slowest to adapt, not many people train their own AI model or deploy new AI models frequently
The CNCF cloud native report indicates a growing adoption of Kubernetes and container usage in production, with larger organizations facing cultural resistance as a primary barrier to implementation.
This week’s Software Defined Talk: This week, we discuss the end of Cloud 1.0, AI agents fixing old apps, and Chainguard vs. Docker images. Plus, the mystery of Dutch broth is finally solved.
I recommend the traditional podcast format.
This week’s Software Defined Interviews: we talk with Nathen Harvey, who leads the DORA research program at Google Cloud. They talk about what 15 years of DevOps and delivery data actually says about AI. The answer feels something like “it makes you even better at what you’re already good at.” High-performing teams get better, while struggling teams just move faster into bottlenecks. The talk about AI-assisted software development, why throughput is rising while stability drops, how culture still beats tools, and why “user-centric” work remains stubbornly hard despite being obvious.
There’s also the traditional podcast version.
This week’s Tanzu Catsup: AI tools have solved code generation, probably. But they’ve created a new constraint: Day 2 operations. When the volume of applications jumps 10x driven by a flood of “small” line-of-business apps manual “run teams” and traditional onboarding processes break down.
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Enterprise AI ROI is still elusive. What IT can do to fix it. It's not "culture."
Despite high expectations for AI’s impact on business productivity, over half of CEOs report no benefits from its implementation, highlighting a significant disconnect between technology investment and cultural readiness.