Factory 2.0 describes an end-to-end AI agent system that turns signals like bug reports and customer feedback into planned changes, code, tests, reviews, deployments and monitoring in a continuous loop. It stresses choosing the right models, maintaining data sovereignty, and enabling the system to learn from its own operations. Engineers shift from writing code to designing, governing and improving these autonomous pipelines.

• Factory 2.0 automates the entire software lifecycle—bug reports to deployment and monitoring—as one continuous, self-refining loop rather than just speeding up individual coders.
• Their model rests on three pillars: model independence (routing across AI models by cost/speed/accuracy), sovereign intelligence (keeping all data in-house via cloud, key-managed, or air-gapped setups), and continual learning (shared context so one team's fix automatically improves others).
• Already live at major clients like NVIDIA, EY, Adobe, Palo Alto Networks, Adyen, Blackstone, Wipro, and Comarch, rolling out gradually from simple task-based "Droid" agents to multi-agent "Missions" running autonomously for hours or days.
• Reframes the engineer's job from writing code to designing and governing autonomous AI pipelines.