Why do agents need a cloud?

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Each agent gets an isolated sandbox, scoped permissions, and hard budget caps. Full observability included. Get started with a $100 credit.

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Use cases

Why a cloud

Why do coding agents need a cloud?

A laptop can run one agent while you watch it. Running a fleet takes isolation, an always-on runtime, and control.

Sessionslive
Flagged 1 risk on splitshift-api #1841
Dropped column without backfill
$0.21
12.0K tok
just now1m30s
Posted daily standup to splitshift-hq #engineering
4 merged, 2 awaiting review
$0.05
3.3K tok
just now22s
Opened splitshift-web #314
Implement CSV export
$0.42
31.2K tok
22s ago4m02s
Approved splitshift-api #1839
Add rate limiting to /v1
$0.18
9.1K tok
1m ago48s
Reviewed splitshift-web #1842
Fix connection leak on error path
$0.31
18.4K tok
3m ago1m12s
01

Isolated sandboxes

An agent needs somewhere safe to execute. Every session gets its own ephemeral sandbox with nothing shared, so ten agents can work the same repo in parallel without touching a laptop or each other.

Automations
3 active · splitshift-hq
+ New automation
Daily standup → #engineering
cron · 0 9 * * 1-5Last run today, 9:00 AM
active
Auto-review on PR open
pull_request.opened12 runs today
running
@ellipsis on-demand
tag · on-demand847 invocations
active
02

Agents that start themselves

An agent that reacts the moment a PR opens cannot wait for someone to open a laptop. Scheduled, event-triggered, and mention agents all need a runtime that is always on.

Tool callsmerge-referee
Bash
pytest -k auth · passed
Allowed
Edit
tests/test_auth.py
Allowed
gh pr merge
GH_TOKEN is read-only
Blocked
Grep
"flaky" · 3 matches
Allowed
Read
tests/test_auth.py
Allowed
03

Guardrails when nobody is watching

Autonomous agents need control that does not depend on a human at the keyboard. Every session runs inside limits you set once and enforce everywhere.

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Everything you need to run coding agents

From the YAML that defines an agent to the audit trail it leaves behind.

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Agent sessions
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