AWS is applying an agentic development workflow to Trainium kernel optimization, a task that normally requires specialized manual tuning. The Neuron Agentic Development approach is meant to speed up the cycle of identifying, editing, and improving kernels.
That is a practical use of AI agents because the domain has clear feedback loops: performance changes can be tested, compared, and iterated on. It is not just a chatbot wrapper around documentation.
If this pattern holds, AI could become most valuable in infrastructure work where agents can make targeted changes and validate them against measurable system results.