With agentic engineering it is easy to just keep adding features, which leads to an incoherent and unsustainable whole even with perfect agentic engineering models.
Product managements is becoming ever more important, and someone needs to be able to look at the stakeholder needs and value propositions, and prioritize and plan on what is actually needed and what brings more trouble than value. This can be partially automated, but someone still needs to understand where the value comes from.
"Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away."
- Antoine de Saint-Exupéry
If you understand this and have experience with medium to large projects developed with agentic engineering practices, let's talk! I am hiring top agentic AI developers living in #Spain.
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Marginalia