Cheap Code Makes Complexity More Expensive

Software engineering has never been difficult because typing is slow. Typing was simply the visible constraint. The harder work has always been deciding where behavior belongs, how parts depend on one another, what can change safely, and how anyone will know the system still works after the change.

Agents remove a large part of the typing constraint. A factory can explore several implementations, build the strongest one, repair failures, and keep moving without waiting for another person to become available. That is real leverage. It also means the system can accumulate decisions, dependencies, and behavior at a rate no human team could previously afford.

This is the uncomfortable trade: cheap production makes weak decisions cheap to repeat. A feature that once lost a planning argument because it cost too much can now enter the product before anyone has asked what it adds to the permanent operating burden. The code arrives quickly. The obligation stays.

A file can be clean and the system can still be a mess. Complexity lives in the relationships: one service assumes another will answer in time, one permission quietly unlocks three routes, one data shape leaks into six consumers, and one supposedly local change alters behavior somewhere nobody thought to look.

That is why asking an agent for tidy code is not enough. The agent can produce readable functions, consistent names, and a persuasive explanation while making the whole system harder to reason about. Local quality and system simplicity are different claims. The factory has to prove both.

Good boundaries make those relationships explicit. They define what a component owns, what it may depend on, which contracts it must preserve, and what evidence a change has to carry across the boundary. A boundary that exists only in a diagram will not survive abundant code. Put it in the route, the schema, the permissions, and the gates.

Every addition should have to pay for its place. What new state does it create? Which existing contract does it widen? What has to be monitored? How does it fail? Who owns the consequence when two individually reasonable changes collide? If those questions have no answer, the feature is not cheap. Its cost has merely moved out of the implementation estimate.

A software factory can enforce that budget mechanically. It can reject a dependency that crosses an ownership line, stop a change that expands authority without a matching test, compare behavior before and after a migration, and require production signals for a new failure mode. It can also surface the total burden of a feature instead of presenting the generated diff as the whole bill.

This is where human judgment belongs. People decide which complexity is worth carrying because that decision depends on product value and acceptable consequence. Agents should do the repeatable work of exposing the cost, checking the boundaries, and refusing to let an unsupported decision slide into production unnoticed.

When building gets easier, removal has to become routine. Old paths, duplicate abstractions, temporary flags, unused permissions, and features nobody values all compete for attention with the next change. Left alone, they make every later agent inspect more context and consider more interactions before it can act safely.

Factories are better positioned than human queues to do this continuously. They can trace usage, propose removals, run the proof, and preserve a rollback path. They can turn a rejected feature into a smaller system instead of a permanent layer everyone learns to route around. The goal is not fewer lines for its own sake. The goal is fewer live promises the organization has to keep.

A factory that only adds is not autonomous. It is an accumulation machine. Real operation includes pruning, consolidating, and retiring behavior when the evidence says its value no longer exceeds its burden.

Our prediction is that code generation will keep getting faster and cheaper. That will eliminate work built around manual implementation and coordination. It will also punish companies that confuse the ability to produce software with the ability to operate a coherent system.

The winners will not be the teams whose agents created the most code. They will be the teams whose factories can keep the system understandable while output rises: strong ownership, narrow authority, explicit contracts, independent proof, production feedback, and a route for removal. Those controls turn speed into a durable advantage instead of a larger pile of obligations.

Use agents to make the work move. Use the factory to make the system hold. Code is becoming abundant. Simplicity is not, and it is about to become far more valuable.