Back to CatalogThe Factory Model shifts the developer’s role from implementor to system designer, building the “factory” of specifications, tests, and guardrails while AI handles implementation.
Agentic AI
SDLC
The Factory Model
Developer builds the system that builds code.
Intent & Description
⚠️ Problem
Treating the developer primarily as an implementor bottlenecks the delivery process when AI can generate code much faster than human typing speed.
💡 Solution
Shift the developer’s role to a system designer who builds the “factory” that produces software. The developer defines specifications, tests, and guardrails, while the AI agents autonomously execute implementation within this constrained environment. Source: Osmani, A., Saboo, S., & Kartakis, S. (May 2026). The New SDLC With Vibe Coding. Google.
Real-world Use Case
- Large-scale refactoring or framework migrations.
- Well-specified feature implementations.
- Systematic generation of test suites and boilerplate.
Source
📌 TL;DR
Never let the factory output go straight to production without deterministic quality gates and evaluations.
Advantages
- Drastically lowers the marginal cost of producing and maintaining features.
Disadvantages
- Demands higher upfront investment in testing and validation pipelines.
- Bad fit for designing core architectural trade-offs that demand human business context.
- Unsuitable for novel, highly ambiguous problem spaces lacking clear correctness criteria.