Product-Management

TL;DR Agent-first architecture imagines a future where the primary unit of work is an AI agent with intent, tools, memory, and a feedback loop - not a human-authored codebase The engineer’s role may shift from building and maintaining systems line by line to curating, governing, and evolving fleets of agents Glue code, routine maintenance, first-pass incident triage, and migration work are plausible candidates for automation; deciding what a system is for and holding architectural intent across time probably are not Managing an agent fleet might resemble logistics fleet management: define intent, set constraints, design feedback loops, curate the roster, and own the outcomes This is a speculative post, not a description of how anything works today - pinning down a hypothesis to revisit when it turns out to be wrong This is a “thinking out loud” post, not a report from the front lines. I have no evidence any of this is happening at scale, and it is not how my current day job looks. These are just ideas I keep turning over, and I wanted to write them down to see if they hold together. ...

TL;DR The ability to say no to a buildable idea is rarer and more valuable than knowing how to build well Ideas are abundant; attention, energy, and years are not - every yes is an implicit no to everything else you could have built Discernment is a trainable skill: interrogate who the thing is for, what it costs to maintain, and whether you would still want it in five years The compound effect runs both ways - focused builders compound depth, scattered builders compound half-finished repositories The hardest no is to the idea that is genuinely good but still not yours to build Every builder knows the feeling. You have an idea. It’s clever. It could be useful. You start sketching it out, planning the architecture, imagining how it would work. ...