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Our CTO org has been pushing “shift left” for a while now, and the arrival of agentic AI tooling has turned that push into something closer to a mandate.

I run a Claude “chat” project I mostly use from the Claude mobile app, and it needs to keep certain files up to date.

I have a Claude project set up as a standing assistant — it already holds the context for a task I do on a recurring weekly basis, and I wanted it to act on that context instead of just handing it back to me to act on manually.

Why I’m writing this I recently hooked Claude up to this blog’s WordPress.com site through MCP so I could draft and edit posts without copy-pasting Markdown into the editor by hand.

Here are some lessons that I’ve learned after a few months of using AI in my day-to-day work as an SDET.

This is part 2 of a 4-part series on deploying an application to Azure Kubernetes.

This is part 3 of a 4-part series on deploying an application to Azure Kubernetes.

This is part 4 of a 4-part series on deploying an application to Azure Kubernetes.

This is part 1 of a 4-part series on deploying an application to Azure Kubernetes.

While working on functional tests for tlslookieloo I discovered that it’s not returning an error exit code when it exits because of a configuration issue.

After a few months of working on it on the side tlslookieloo 0.1.0 is finally out the door.