Solutions

AI for
engineering teams.

Plan and ship changes with the Build CLI, review in the cloud, and deploy on the platform underneath: functions, containers, Postgres, and agents behind one API.

  • Terminal and cloud sessions
  • Every major model
  • Isolated per workload
  • One API

Capabilities

From the plan to production

The coding agent and the cloud it deploys to come from the same account.

Plan, then implement
The Build CLI reads the repository, plans the change, and implements it across files, with every edit shown as a diff.
Review in the cloud
Hand a branch to a cloud session for review and pick the result up from the terminal or your phone.
Internal tools from a sentence
Build turns a description into a running app with a shareable link, on the same platform as production.
Agents in your pipeline
Managed agents run on schedules and triggers with their own environment and scoped credentials, and keep a record of every run.
The platform underneath
Functions, containers, full Linux machines, and managed Postgres, each workload isolated on its own machine.

How teams use it

From an issue to a merged change

  • Issue to pull request

    Point the agent at the issue and get a branch with the change, the tests, and a description of what it did.

  • Migrations and upgrades

    Work through a dependency upgrade or a codebase-wide change with a plan you approve first.

  • On-call help

    An agent reads the alert, the logs, and the recent deploys and drafts what changed and where to look.

Explore all use cases

Work across your engineering tools

Connectors reach your code, issues, and database. Agents add remote MCP servers when you want a direct line into anything else.

  • GitHub
  • Linear
  • Supabase
  • Slack
  • Notion
  • Remote MCP servers
  • OpenAI-compatible API
  • AI SDK

Ready to ship more with the team you have?

Talk to our team about Cluster and Clusterbase for your engineering organization.