Insights
Long-form thinking on coordinating AI coding agents, keeping their spend visible, and what becomes possible when the idea is the only bottleneck.
New here? Start with our guide toorchestrating AI coding agents →
You don't need to write code to ship real software with AI agents — you need to brief clearly, review the right things, and let the gates do the work. A practical playbook for founders and product people.
The real objection to AI coding agents isn't whether they can write code — it's whether you can trust code you didn't watch get written. Here's how gates, not faith, make that answer yes.
Going from one AI coding agent to a coordinated fleet that ships reviewed, cost-bounded work — the problems that show up and the operating model that fixes them.
Token spend is easy to lose track of once more than one agent is running. Here's how to keep it visible per task, per agent, and per model — without ever routing it through a black box.
A single coding agent is easy to supervise. Ten of them, across machines and tasks, is a coordination problem — and coordination is the part nobody's tool was built to solve.
You know exactly what 'done' looks like. Here's how to go from a plain-language brief to a shipped, reviewed change — without writing a line of code yourself.
