One production flow.
Many specialist workers.
Tomorrow's best model can plug in without rebuilding the factory.
Coding agents made code abundant. OpenFactory finds what's limiting software production, attacks the constraint, measures what changed, then finds the next one.
Now build the factory. OpenFactory sits around the agents you already use: coordinating work, carrying context, routing failure, and bringing humans in when judgment is required.
Tomorrow's best model can plug in without rebuilding the factory.
Every decision, retry, and correction becomes part of the production record.
It's throughput. How much useful software made it through the factory?
Find the constraint ↓A coding agent shouldn't grade its own work. Different models fail differently. OpenFactory uses that disagreement instead of hiding it.
Make coding faster. Review becomes the bottleneck. Improve review. Verification becomes the bottleneck. Good. That's what happens when a production system gets faster.
Your verification queue is telling you where to look next.
An agent makes a mistake. Another catches it. A human corrects an assumption. Those aren't just failures. They're production data.
See how the ledger works ↗Give OpenFactory one production flow that matters to the business. See what gets through. See where the queue forms. Then attack the constraint.