Factory's autonomous Droids handle end-to-end coding tasks directly from Jira tickets to clean pull requests across our streaming backend. It saves our engineering team massive amounts of time on routine API updates, bug fixes, and feature maintenance.

What I like best about Factory AI is that it goes beyond simple code completion. Its Droids can take an entire task from planning through implementation and testing, while working inside the tools developers already use. The combination of deep codebase context, adjustable autonomy, and model flexibility stands out to me. Being able to choose between models such as GPT, Claude, and Gemini without rebuilding your workflow makes Factory feel more like an engineering platform than just another AI coding assistant.

Factory AI is an agent-native software development platform that uses autonomous AI agents. It supports all LLM models available in the market, using AI intelligence to help satisfy our work needs and improve performance depending on the model, end to end. Factory AI also supports a smooth onboarding process. It offers multiple pricing plans, such as Pro, Plus, Max, and Enterprise. We can easily integrate Factory AI through the CLI, the Factory app, and the website to use it in our workflows.