Hey everyone,

November 3, 2025. Today feels like any other day at the office, but there’s a subtle difference. AI copilots are everywhere now, whispering suggestions and offering solutions that used to be hard-won through hours of debugging. For me, it’s been a week I’ll never forget.

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The Setup

A few months ago, our team got our hands on the latest AI-powered dev tools. They promised to make life easier—less coffee needed, more time for coding. But let’s just say, they’ve had their moments. This week was one of them.

On Monday morning, I woke up to a Slack message from my AI assistant, “Brandon, it seems like you need an extra cup of coffee today.” A little chuckle and I went about my day. By 10 AM, things took a turn for the worse.

The First Glitch

The first issue came when I was debugging some latency issues in our eBPF code on Kubernetes. My AI copilot chimed in with, “Brandon, have you tried using the new eBPF trace command?” Eager to save time, I followed its advice and immediately hit a wall. The command wasn’t recognized—my bash environment was messed up somehow. A quick fix, but it left me questioning the reliability of my AI assistant.

The Second Glitch

By lunchtime, things got worse. We were rolling out an update on our multi-cloud platform when the AI suggested we use wasm containers for better performance. “Sounds good,” I thought, and hit deploy. A few minutes later, logs started piling up with errors about incompatible versions of dependencies. It turns out my AI hadn’t checked whether the new version was fully supported in our environment.

The Outage

As if that wasn’t enough, we had a minor outage on Thursday afternoon. Our Cloudflare Global Network experienced issues, and our monitoring systems flagged it as an anomaly. My AI assistant immediately proposed we reroute traffic using a fallback DNS provider. I clicked through the steps—sure, why not? But within 30 minutes, our main network was down again.

I sat back, running diagnostics on my laptop. The AI had suggested changes that, while well-intentioned, were too broad and didn’t account for the nuances of our specific environment. It made me realize just how much I still need to understand about these systems, even with all this fancy new technology.

Post-Mortem

The Cloudflare outage post-mortem was brutal. The root cause? A misfire from my AI assistant. We spent hours going through logs and identifying what went wrong. In the end, it came down to a single command that had been overlooked in our complex deployment process. It was a wake-up call for all of us.

Reflections

This week has taught me something important: while AI copilots can be incredibly helpful, they’re not infallible. They offer great suggestions and insights, but ultimately, I still need to have the final say. Every decision should come with a human touch—a layer of critical thinking that ensures we don’t just follow blindly.

I’m not saying this week was all bad. In fact, it made me appreciate how far we’ve come in managing AI infrastructure. The convergence of eBPF and Wasm is fascinating, but so are the pitfalls. I’ve learned to approach these tools with a healthy dose of skepticism and a thorough understanding of my environment.

Until next time, Brandon

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Feel free to comment below if you have any thoughts or stories of your own!