Use Prototypes to Plan Production Software with AI
Eight hours of planning, or fifteen minutes? Depends what you're building: Production-grade or prototype-grade. In June, I gave a talk at Agentic Builders Collective Singapore about a planning workflow for building software with generative AI. In a nutshell, it combines the grill-with-docs agent skill by Matt Pocock with the shaping agent skills from Ryan Singer , and runs them in a highly…
The article discusses a planning workflow for building software using generative AI, combining techniques from Matt Pocock and Ryan Singer. Eight hours of planning are required for production-grade software, but only fifteen minutes for prototype-grade software. The key distinction is that production-grade software needs thorough planning, while prototype-grade software only needs a quick prototype to understand what needs to be built.
Prototyping has become more economical due to AI, allowing for rapid planning and building. The article suggests using the prototype-plan agent skill to plan a prototype, then building it, and finally using the build-plan-product and build-plan-specs agent skills to plan a production-grade version of the software. However, prototypes do not reveal critical factors like scaling limits, security models, compliance obligations, or migration paths, so the two planning grades are distinct.
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