MVM
A strict, cross-platform microVM runtime for safely executing AI agents and untrusted workloads.
I’m Ari Lerner. I work where systems software, AI infrastructure, security, and product meet—turning difficult technical ideas into things people can actually use.
Selected systems
Runtime boundaries, content-addressed systems, and infrastructure that makes powerful software safer and simpler to operate.
A strict, cross-platform microVM runtime for safely executing AI agents and untrusted workloads.
An object-first runtime exploring deterministic execution, portable artifacts, zero-copy data paths, and compute that travels with its guarantees.
Research into semantic, content-addressed object identity and a topology where software can address meaning rather than storage location.
Working thesis
The systems I care about make capability explicit, complexity containable, and trust inspectable.
01
Powerful workloads need hard machine boundaries, attenuated authority, and a blast radius the operator can understand.
02
The best infrastructure does not expose every mechanism. It exposes the guarantees people need to build with confidence.
03
Policy, identity, provenance, and auditability should travel with the system—not live in an operator’s memory.
Writing
Essays about secure AI systems, Rust, infrastructure, learning, and the human reasons we build.
Ambitious mathematical software can formalize the missing object, prove surrounding machinery, and record evidence while keeping the unresolved crux mechanically open.
Once objects have stable identities, a registry has to preserve namespace state, relationships, atomic changes, reconciliation, and reachability—not just blobs.
A portable suspension needs addressed state, addressed dependencies, explicit host contracts, and fresh authority when execution moves.
The long arc
I’ve built companies and systems, authored and co-authored nine technical books, taught engineers around the world, worked inside AWS innovation, and kept returning to the same question: how do we make powerful technology usable without making it careless?
The longer storyOpen channel
I’m always interested in hard systems problems, serious open-source work, and people building new leverage without ignoring trust.