AI challenges the traditional tools and benchmarks for building a delightful UX. User journeys are open-ended, user experience is probabilistic, and intent is no longer declared but inferred.

We've learned a few things about AI Usability while building Flightcrew

www.flightcrew.io/blog/buildin...

I was in SF last week and was asked a few times if @flightcrew.io is an 'AI SRE' which seems to be a tool that

1. Ingests logs + jira context
2. Identifies root cause
3. Recommends a fix

This seems like a useful tool but we’re not building that.

Here’s why

www.flightcrew.io/blog/ai-plat...

Building a GitHub Copilot Extension requires solving hard problems like
- Prompt routing
- Authorization
- Context management

Here's what we learned at @flightcrew.io from the process.

Flightcrew now integrates with GitHub Copilot

We're building the AI bot that catches and fixes the thousands of things that can go wrong in cloud infrastructure.

And now … (almost) everything Flightcrew knows about cloud infrastructure is accessible via Copilot.

Platform Engineers love #KEDA because it extends Kubernetes autoscaling to message-based architectures. This is critical for managing the cost and dependencies of today's AI workloads.

Here's a quick guide for scaling KEDA on #RabbitMQ:

www.flightcrew.io/blog/keda-ra...

We try to have honest conversations with engineers about when they should use an AI Agent vs an existing open source tool.

This gets tricky when Agents can both supplement, and replace existing tools and workflows.

Here's a look at the Kubernetes VPA in 2025

www.flightcrew.io/blog/an-hone...

OpenAI published their postmortem from Wednesday's outage and it perfectly summarizes the difficulty of production engineering: cloud environments are volatile and any change can have unintended consequences

We're at re:Invent this week to chat all things AI + IAC.

Let's meet up at Booth, Bar or Pool 😎

👋