Your personal
coding factory.
A swarm of coding agents working on their full featured cloud computers to get fully tested PRs for your work.
Coding agents are getting good but achieving 100x results seems like a pipe dream for 100x devs.
It's not you, it's the Infra on which you work.
Your laptop runs out of
before you run out of work.
Ports run out at four.
Three dev servers, a tunnel, a database. Your laptop is full before lunch.
Context switching kills focus.
Branch, stash, pull, install, restart. Repeat for every task. Hours gone.
Parallel work is sequential in practice.
You can run four codebases at once. You can't actually think in four.
Each branch needs its own test run.
Spin up the env. Wait for CI. Spin it down. Spin up the next. Repeat.
Local machines hold the team back.
No matter how fast your laptop, it's one machine, one set of ports, one runtime.
Agents inherit the same limits.
Run an agent locally and it fights you for ports, RAM, and your terminal.
Give your coding agents
its own cloud computer.
Agents build, test, and push from fully loaded cloud VMs. You stay on one machine and review the PRs that come back.
A VM per task, no ceiling
Every agent gets its own machine. Ports, runtimes, dependencies — all isolated.
You stay on one screen
Agents work in parallel in the cloud. You read PRs and reports, that's it.
Tests run where the work runs
Each VM builds, tests, and pushes its own branch. No queue, no cleanup.
Spin up N, scale to zero
Need ten parallel environments? Done in 30 seconds. Pay only for the work.
Agents in their own machines
No more port conflicts, no terminal hijacking. Your laptop stays yours.
Ephemeral by default
VMs vanish when the PR is open. State lives in the repo, not your filesystem.
Not another autocomplete.
It's OpenClaw, but for coding agents in the cloud.
Isolated cloud VMs
Each agent gets a real machine. Snapshot, fork, rewind.
Full repo context
Agents load your codebase, conventions, and history before touching a line.
Parallel by default
N agents share context. Conflicts resolve in flight.
Your stack, wired
GitHub, Linear, Slack, Sentry. 30-second install.
Pick your harness
Claude Code, Codex, Cursor CLI, Gemini CLI. Per-task routing.
Shared memory across agents
Every agent reads from the same context. Decisions, conventions, and history stay in sync.
Four moves, then a PR.
Describe the work.
A ticket, an issue, or a one-line spec.
Approve the plan.
A senior agent breaks it into sub-tasks.
Watch the swarm.
Agents work in parallel. They ping you when blocked.
Review the PRs.
Stacked, atomic, with reasoning attached.
Built for the way you ship.
Ship the v1 weekend.
Hand off Friday. Deployable PR Sunday. The MVP nobody could spare time for.
Drain the backlog.
Bug fixes, dep bumps, dead code, flaky tests. The work that always gets pushed.
Modernize without a rewrite.
One route at a time. Stacked PRs, atomic merges, no big-bang migration.
Take on more clients.
Brief on Monday. Demo on Friday. Parallel projects without parallel hires.
Sweep the whole repo.
Lint rules, framework bumps, naming overhauls. Cross-cutting work no one wants to own.
Ship like a team of ten.
Tickets at night. PRs by morning. Side projects that finally move on weekdays.
Engineers, talking.
We shipped a quarter of our roadmap in a weekend. The PRs were better than the ones I write tired.
Replaced our entire backlog-grooming ritual. The swarm picks up the boring stuff while we sleep.
I gave it our 12-year-old PHP monolith and asked for TypeScript. It came back in 9 hours.
Onboarding used to take a week. Now an agent reads the repo, asks three questions, and ships the first PR by lunch.
Our flaky-test backlog dropped from 312 to 4 overnight. I checked twice. It really happened.
The reasoning attached to each PR is the part that won my team over. It explains itself like a senior would.
We point it at Sentry incidents and walk away. Most pages are now PRs by the time I open the laptop.
Cut our migration from twelve months of planning to six weeks of merging. Atomic PRs, no rewrite.
I was skeptical. Then it shipped a feature I had been sandbagging for a quarter. Skepticism resolved.
Pay for the work,
not the seats.
Core plans scale with the compute you use each month. Enterprise adds maximum security, compliance, and control.
Core
Ideal for individual users and teams
- Up to 100 team members
- Unlimited parallel environments
- Connect your Codex subscription
- Up to 32 cores, 128G RAM, 200G disk
- GPU support
- Environment lifecycle management
- Prebuilds for faster environment starts
- Project sharing and collaboration
- Role based access management
- Custom org-wide commands and deny lists
- Basic support
- Environments auto-delete after 7 days of inactivity
Enterprise
Maximum security, compliance and control
- Everything in Core
- Bank-grade VPC deployment
- Complete network control over load balancer, domain and certificates
- HTTP proxy support
- Fine grained organizational roles, permissions and policies
- SSO and OIDC identity and access controls
- Org-wide secrets
- Detailed audit trails on every human and AI action
- Warm pools for instant environment starts
- Org-wide engineering productivity insights
- Control over MCP usage
- Programmatic access via SDK and API
- Uptime guarantees (SLAs)
- Dedicated account manager, forward deployed engineer and premium support