The software factory is already here.

When a model gets cheaper, your architecture should not lurch toward a new vendor. Your router should get one more option to prove.

A queue can keep agents busy. Only a goal loop can keep the factory moving in the right direction.

A launch can change what the machinery is capable of overnight. It cannot tell you what the machinery should do on Monday morning.

If one missing specialist can stop a project, the problem is bigger than hiring. The delivery system does not know how to do the work.

AI-native does not mean an agent writes most of the code. It means the system around the agent can absorb more work without borrowing safety from one person's attention.

A bigger AI subscription buys access. It does not tell you which work deserves that capacity, how fast it must run, or whether the result is worth the bill.

A postmortem can explain every decision and still leave the next failure fully armed.

If agents can write more code than you can safely judge, another coding agent is not the next thing to build. The verdict is.

When near-frontier intelligence gets dramatically cheaper, the model stops being the scarce part. The system that can put it to work becomes the advantage.

A pull request that needs a review tells you almost nothing. Name the decision a person must make, or the review will become ceremony.

Code can get dramatically cheaper without software becoming easy. That gap is where the next operating model gets built.

A longer prompt can make one agent look smarter. A context system makes the whole factory more reliable when the task, model, and codebase change.