Practitioner essays on building production software with AI agents.

Your engineers struggling with AI agents don’t need better tools or training. They need permission to work differently and the organizational barriers removed that punish speed.

Token costs are production costs, not developer allowances. Put them in the portfolio P&L, measure human plus AI labor against accepted outcomes, and stop mistaking visible inference bills for economic governance.

AI coding platforms are becoming the system of record for software production. Govern them as lifecycle infrastructure, not developer preference.

Your product team spends 60% of their time on coordination that agents handle in minutes. Building is no longer the bottleneck, your customer's capacity to receive what you ship is. The operating model that wins is embarrassingly simple: talk to customers, figure out what to build, ship it, make sure it lands.

Before you optimize token spend, measure the completed work, human attention, cycle time, and risk reduction those tokens bought.

Your token burn is not the problem. It is the first invoice honest enough to show that your engineering work has no value discipline.