Factory Launches Factory 2.0 to Replace Human-Managed Software Teams

Factory just drew a hard line between the first wave of AI coding tools and what it believes comes next. The company launched Factory 2.0, rebranding its platform from a collection of coding agents into what it calls a software factory -- an autonomous, end-to-end system that ingests signals from the real world and turns them into production software, continuously and without human hand-holding at every step.

Improving the productivity of individual engineers is no longer enough. Unlocking organization-wide productivity requires an interconnected, agent-native, end-to-end system. That is the core thesis behind Factory 2.0, and it marks a deliberate pivot in how the company positions itself against tools like Cursor and GitHub Copilot.

The assembly line metaphor is literal

The software factory starts with signals from the outside world -- bug reports, internal conversations, customer feedback, business requirements. These signals get triaged and turned into planned changes. Those changes are built, tested, reviewed, secured, shipped, and monitored. Monitoring that deployed software generates more signals. The entire system is a continuous feedback loop.

The agents doing the work are called Droids -- Factory's term for specialized AI agents that handle specific stages of the software development lifecycle (SDLC). Unlike GitHub Copilot or Cursor, which focus heavily on in-editor code completion, Droids are designed to execute longer-horizon tasks: generating new features across multiple repositories, writing and running tests, performing code review, producing documentation, and deploying to production.

Factory also introduced a capability called Missions for the most complex work. Missions allow a user to describe a business outcome in natural language -- like migrating a billing service off legacy Python 2 -- and watch multiple Droids plan, execute, and verify the work over hours or days.