Cloud-Native Code Storage

Agents need separate storage for ephemeral outputs while keeping project assets in Git LFS.

Agents committing code at machine speed expose infrastructure limits designed for human developers.

Automated policies replace human naming conventions to manage hundreds of agent-created branches.

Webhooks enable agents to react to repository events in real time without continuous polling.

Shallow clones cost more than full clones in agent-heavy pipelines with workspace caching.

AI agents stress storage systems differently than humans do, requiring new infrastructure design.

Agents expose four silent failures in sync layers built for human commit cadence.