When Code Gets Cheap, Coordination Gets Expensive

TL;DR

As AI agents push the cost of code toward zero, coordinating decisions and handoffs becomes the expensive part, and the slowest step in the chain limits delivery.

  • Coordinator roles feel pressure first
  • Removing handoffs comes before new tools
  • Stating what to build is the top skill

The cost of producing code, documents and other knowledge work is falling fast. As it heads toward zero, the expensive part becomes coordination, the work of aligning decisions, handoffs and accountability. Faster production exposes slow coordination, and the slowest step in the chain becomes the constraint.

Modern companies were built to scale people doing knowledge work, first by hand, then with computers, then with software teams. These structures add levels of management to handle work where one team’s output relies on another team’s input. A classic study of coordination in software development found that this kind of reliance creates real overhead even when teams are capable and motivated. Work has to be kept in step across people and the things they produce.

The technology behind the falling cost is the AI agent, software that takes steps on its own. In SWE-agent, a research system, an agent works through a controlled interface. It moves around a body of code, edits files and runs tests, automated checks that confirm a change has not broken anything else. That shortens the time between deciding on a change and making it, so the speed comes from shorter cycles rather than bigger teams.

Roles built around coordination feel the pressure first. Release planning and cross-team scheduling carry less weight when fewer people touch each change, since the work needs fewer handoffs, meetings and queues. Governance stays, but its main job becomes checking outputs quickly against clear standards.

The response starts with finding where coordination time dominates delivery time, then removing handoffs there before adding new processes or tools. With fewer handoffs, delivery can be rebuilt around small units of ownership with clear accountability. Money that went on coordination overhead can then pay for training in scoping, prioritising and checking work, so people focus on the decisions machines cannot make.

Those decisions are the scarce input once building is cheap. Specification becomes the premium skill, which means stating what to build, what good looks like and which constraints matter. The other skill that sets teams apart is judgement, knowing that a request is right for the customer and safe for the business before it ships. Without strong specification and judgement, cheap output turns into expensive rework, delays and quality risk that erodes margin.

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When Code Gets Cheap, Coordination Gets Expensive | Chief AI Leader