Seven Rules for Building an AI-Native Software Factory
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Ewan Dawson, CTO of Compostable AI, shares seven rules for running an AI-native software factory derived from 19 client deployments with a team of five engineers. Key principles include redesigning workflows around agents rather than bolting AI onto existing processes, eliminating problems through architectural decisions (e.g., per-client AWS accounts to avoid multi-tenancy risks), choosing tools with strong CLI/API support that agents can drive autonomously, using specialized agent pipelines instead of a single god-prompt agent, measuring human hours per unit of value, designing for iterative convergence rather than one-shot correctness, and running the factory in the cloud for 24/7 operation and team-wide consistency. Pulumi IaC with TypeScript is highlighted as a key enabler for agent-driven infrastructure management.
Table of contents
1. Transform, don’t enhance2. Remove the problem, don’t solve it3. Pick tools your agents can drive4. Don’t let one agent do everything5. Measure human hours per unit of value6. Design for convergence, not one-shot correctness7. Run the factory in the cloud, not on a laptopClosing thoughtSort: