No, That's Not a Software Factory — Ryan Cooke, WorkOS
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- youtube.com
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- AI Engineer
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Context
WorkOS describes a software factory that connects planning with execution. In its presentation, a product-management drafts a product document and breaks approved work into tickets. Separately, TARS, the company's agent in Slack, Linear and GitHub, uses webhooks (automatic notifications from those services) to track projects and pick up the next ticket on its own.
The mechanism addresses the handoff between deciding what to build and assigning the next piece of work. WorkOS argues that counting pull requests or lines of AI code misses whether this process actually delivers more to customers. It describes assessing outcomes through measures such as defect rates, recovery time and adoption, making those the proposed test of the factory's value.
- Cooke says WorkOS's first factory, an agent in a that is prompted and whose PR is merged, produced results hard to distinguish from engineers running Claude Code on their laptops.
- WorkOS's agent TARS lives in Slack, Linear and GitHub and uses webhooks to track projects and pick up the next ticket on its own; a PM agent drafts the product doc and splits approved work into tickets.
- Cooke calls an internal gateway that connects every tool, Snowflake included, the single best investment for a team starting a software factory.
- WorkOS measures the factory by outcomes, defect rates, recovery time and adoption, rather than PR counts or lines of AI-written code.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
- sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
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