Full Tutorial: The Most Underrated AI Agent for Coding and Product Work

Reyes says Factory has spent about two and a half years building Droid for organizations that need enterprise controls. Alongside terminal, IDE, web, and desktop interfaces, Factory offers codebase analysis, ROI analytics, and controls for managing agent use.

Reyes uses notes from a Granola conversation as input for a speed-reading web app. In Spec Mode, Droid asks what the app should do, creates a specification document, and uses that spec to guide implementation. Reyes says users can change autonomy, models, and modes during a session.

Reyes argues that agents are limited by how well they check their own output. Droid runs builds, linters, and type checks, and uses browser screenshots and interactions to review the app. The demo also shows Droid adapting the app to Factory’s existing colors, components, and fonts by reading the codebase.

Reyes describes skills, MCP, hooks, and shared configuration as ways to customize agent workflows. His product management skill draws on Factory’s product principles, positioning, prioritization frameworks, and templates, including documents in Notion. He says this context helps produce PRDs and design documents that reflect the company’s established language and practices.

Reyes says Factory mainly hires product engineers, while employees in roles such as sales also use Droid for customer research, usage analysis, and deal tracking. He describes enterprise customers expanding access beyond software engineers so teams like product, operations, QA, and data science can ask questions about codebases. Factory focuses on difficult enterprise code problems, including legacy systems and refactoring.