Thoughts
under
pressure
Every brass gauge is a thought I've published, and its needle shows how hard my brain was working on it. The pipes show how the thoughts connect. Move over the machine to stimulate it, and click a gauge to read.
Latest thoughts
Two ways to get unstuck
Your teams are already using harnesses they understand, and mostly that's fine. When they're stuck and nobody can agree how the work should flow, two approaches keep coming up: start from a kit with GitHub's Spec Kit, or start from a path with Anthropic's AI-native SDLC playbook and build it up yourself in Claude Code.
Is this the future of AI platform engineering?
A hypothesis. Platform engineering's old trick was making the hard parts invisible to app teams. Do the same for the whole business, so someone in talent can build an idea without knowing what identity is, and you've got a way to transform it.
Skills are the vehicle
Clear the skills hurdle and you'll start seeing a return on AI. Stop there and you'll see very little of it. The return is in what skills add up to across teams, domains and the business.
Four lobes
Send a
signal
Read something that set you off? Think I've got it wrong? Good. Write in. The best replies end up wired into the brain as new thoughts.
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