What should we build?

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AI

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See it run. Change it. Serve it.

Terminal

Claim a fresh VM for terminal-first work without sharing the host.
Keep commands, output, and runtime state visible to the operator.
Move from shell work to desktop, app preview, or code without changing machines.

Terminal in detail

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shared terminal session · same VM as desktop, web app, and editor

Why teams trust DevShot

Security Model

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Architecture

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Benchmarks

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Why teams choose a hybridscaler

Criterion	Hyperscaler	DevShot	DIY
Operating speed	High, but abstracted through broad platform layers	High, with a focused control plane for secure execution	Low to medium, depending on internal platform maturity
Infrastructure control	Limited to vendor-defined deployment models	Strong control with hosted and sovereign paths	Maximum control, but at high operational cost
Time to enterprise trust	Often strong, but not tailored to your execution workflow	Designed around secure AI execution and operator visibility	Slow, because the team must build the trust surface itself
Operator experience	Broad tooling, not always opinionated for AI operations	Purpose-built for agent sessions, recovery, and control	Inconsistent unless the platform team invests heavily

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Full Stack

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Alpine Terminal

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Point it at your hardware. Ship anything.

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