2 min read
The future of AI coding infrastructure: memory, evals, terminals, and orchestration
The future of AI coding looks less like one perfect agent and more like a stack of infrastructure layers that make agents usable.
By Agent Software
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2 min read
Local-first AI tooling: privacy, latency, cost control, and operational clarity
Local-first is not only a privacy argument. It also affects responsiveness, cost control, and operational clarity in developer workflows.
By Agent Software
3 min read
The coordination problem in AI coding: why separate tools fail when context is fragmented
The hard problem in AI coding is not getting one model answer. It is coordinating state across tools, time, and human decisions.
By Agent Software