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12 quotes from 1 episode on The Changelog, each with a timestamped link to the source.
Dave Kerr states that deploying AI agents involves rigid operational boundaries and visual proof of success. Visual verification through terminal recordings and audit logs confirms correctness beyond basic unit testing.
Regulated clients demand built-in audit logs that track resource creation and editor identity before deploying any AI tools.
“This client need to know which person created which query and who edited it. Can we get this out of the box? And it's like, 'Yeah, we've got audit logging. It will tell you the resources that have been created and who created them.'”
Dave Kerr stops all creative laptop work strictly at 6:00 PM to protect against the manic cycles triggered by AI programming.
“You'll almost never see like an open-source contribution come out of my laptop after say 6:00 p.m.”
Reviewers evaluate an AI pull request by watching terminal output recordings before reading the generated code.
“What I want in the pull request, I don't really want to look at the code. I want a video recording of what the terminal output looks like.”
Production automation treats AI agents as governed services within Kubernetes. Clients prefer predictable Python scripts that fan out operations to limit open-ended prompts.
“…one of the things that my team are building and building an open source at the moment, it's a set of like tools for Kubernetes that mean you can run agents, and treat them a little bit like services you'd deploy and you'd manage and govern.”
“…a lot of the time they wanted deterministic steps. They don't want to say to an agent, 'Read this folder and do X.' They want to say instead, with a bit of Python code, 'List the contents of this folder, and then for each one, fan out an operation.'”
Fast AI responses act as unconditional validators that remove human friction. This loop generates rapid context switching and hyper-creativity that leads to sleepless nights.
“LLMs are very good at feeding your grandiosity and feeding your ideas, 'That's a great idea. What about this?'”
“…very fast context switching, hyper-creativity, this grandiosity of 'I've got this idea and I can turn it into reality.' And that's addictive, and I'll stay up all night doing this.”
Processing intense creative feelings involves stepping away from work entirely. Dave Kerr religiously shuts down laptop tasks to sit with ideas without immediately solving them.
“The idea of integration is that when you have those thoughts and feelings, you'll need time to just be with them for a while, not necessarily solve them, but just let yourself be there…”
“…because I pretty religiously shut down the laptop and I don't do anything creative.”
“For whatever the the bug fix is, give me evidence that it works. So, then you get your terminal recordings that you can then look at and eyeball, and if you see that column is there, you're like, 'Okay. That passes the smell test. I'll now start to go into detail.'”
“Don't just write the code. Build a body of evidence that gives me confidence that what is there is correct, whether screenshots, or recordings, or log log entries, or examples of what you did.”
“…evidence is not the unit tests pass, cuz if the unit tests don't pass, I'm canceling my subscription, cuz you know they really should pass. To me, that's not evidence. That's just like, well, that's hygiene that has to be there.”
How we attribute quotes. Every quote was matched against the episode transcript, so the words and the timestamp are real (we trim filler words like "um", nothing else). The name comes from our written summary of the episode, and we use it only when a separate check of the captions finds that person on the episode. YouTube gives us no voice-by-voice transcript, so open the timestamp to hear who is talking. See a wrong name? Tell us and we fix or remove it.
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