Factory is an agent-native software development platform designed to bring autonomy to the engineering lifecycle. By deploying AI-powered coding agents known as Droids, Factory automates complex, multi-day development tasks, including planning, coding, testing, and deployment. The platform acts as a force multiplier for engineering teams, allowing them to focus on high-level architecture and product vision while AI handles the execution of routine and sophisticated coding missions.

At its core, Factory provides an ecosystem where AI agents work across diverse environments, from local machines to cloud-managed containers. The platform's architecture facilitates seamless coordination between humans and agents through native CLI, IDE integrations, and a dedicated desktop application. By utilizing advanced model orchestration, Factory ensures that complex projects are decomposed into manageable milestones, allowing different AI models to perform specific roles such as research, implementation, or validation.

Some of the key features are:

• Missions: An autonomous project management system that decomposes high-level goals into multi-day work trajectories with continuous validation.
• Droid Computers: Persistent local or cloud-hosted machines that provide consistent environments for remote orchestration of AI tasks.
• Agent Readiness: Analytical tools that help organizations measure repository maturity and track the progress of agent autonomy over time.
• Automated QA: End-to-end testing capabilities that allow agents to interact with applications through visual evidence and real user flows.
• Model-Agnostic Orchestration: The ability to utilize different frontier models for specific roles, ensuring the best price-performance tradeoff for various tasks.
• Extensible Framework: A robust plugin ecosystem supporting Skills, Model Context Protocol (MCP), and custom hooks for deep integration with existing engineering stacks.

Factory operates by providing a collaborative interface where users define objectives and approve plans. Once a mission is underway, the Droid orchestrator manages the workflow, spawning worker sessions as needed to execute tasks. This ensures that no single agent session is overwhelmed by context, as fresh sessions are provisioned for individual features. The system emphasizes security and compliance, featuring built-in scanning, secret detection via Droid Shield, and adherence to enterprise standards like SOC 2, ISO 27001, and ISO 42001.

Some common use cases include:

• Legacy Code Migration: Automating the conversion of legacy codebases, such as COBOL to Java or PHP to TypeScript, over multi-day autonomous sessions.
• System Debugging: Investigating and resolving complex production issues, such as memory leaks, through persistent monitoring and automated analysis.
• Feature Implementation: Generating new software features from technical requirements through automated decomposition and iterative development.
• Automated Code Review: Integrating AI-driven PR reviews into existing CI/CD pipelines to ensure code quality and adherence to repository conventions.
• Environment Setup: Provisioning and configuring preconfigured cloud environments that match specific project requirements for rapid development onboarding.