OpenAI dots vs Factory for software development

OpenAI dots and Factory offer contrasting approaches to AI-assisted software development: dots combines customer-feedback monitoring, issue scoping, code changes, testing, and pull-request evidence in a GPT-6 Astra-based workflow, while Factory emphasizes planned, bounded Missions and model-agnostic execution through persistent Droid Computers or user-managed machines. Dots supports proactive read-only research across connected applications and uses separate permission boundaries for actions, whereas Factory can launch work through schedules, Slack, GitHub events, or webhooks. Factory provides custom model, provider, endpoint, and local-model options in its CLI and desktop products, while dots does not describe a bring-your-own-model capability. The comparison also highlights differing pricing structures, remote-compute options, and organizational controls, recommending that teams test both products on representative repository tasks, verify patches and test evidence, evaluate permissions and data environments, estimate real usage costs, and retain human responsibility for merge and deployment decisions.

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