Template-based environments
Define a machine image, warmup script, and credentials once, then share the template and create ready-to-use sessions.
Bitrise Remote Dev Environments provides on-demand cloud VMs for developers and AI agents, using the same machines, toolchains, and caches as Bitrise CI or Build Hub. Teams can connect with familiar development clients, persist session state, and run agent workflows from template to pull request.
Bitrise Remote Dev Environments (RDE) provides on-demand cloud VMs for coding, building, testing, and AI-agent workflows. The environments use the same machines, stacks, and caches as Bitrise CI or Build Hub, so development and build environments can be aligned.
Developers create sessions from templates, connect with clients such as VS Code, Cursor, JetBrains, Xcode, or SSH, and work with a full shell. Sessions can be started, stopped, archived, restored, or destroyed, with persistent disk state across restarts.
RDE also supports AI-assisted and autonomous workflows. Claude Code, Codex, and other supported clients can run in the VM, while the open-source MCP server can be used to orchestrate ticket-based, headless, and parallel agent sessions.
Define a machine image, warmup script, and credentials once, then share the template and create ready-to-use sessions.
Start, stop, archive, restore, or destroy environments. Persistent disk state lets users return to archived work without keeping the VM running.
Use the same machines, stacks, and shared caches as Bitrise CI or Build Hub, including tools such as Xcode, Git, Docker, npm, and fastlane.
Connect through SSH, VS Code Remote, Cursor, JetBrains, Xcode, Claude Code, Codex, VNC, or other supported clients; macOS environments also provide GUI access.
Use the open-source MCP server to create parallel sessions, run agents headlessly, archive results, and support workflows that proceed from a ticket to tested code and a pull request.
Run macOS Apple Silicon VMs in US and EU data centres or Linux environments with Docker and build toolchains. Linux machine sizes range from 2 to 48 vCPUs.
Connect from a local IDE to a cloud macOS or Linux VM when a developer needs a ready environment with the toolchain used by the team’s CI system.
Recreate a failed build or test inside an environment using the same machines, stacks, and caches as the CI or Build Hub workflow.
Run Claude Code, Codex, or another supported coding client inside a prepared VM, allowing the agent to work with the project’s actual build tools and the team’s own API keys.
Use the MCP server to route work to agents that create sessions, modify code, run tests, open pull requests, and shut down after completing a task.
Create multiple sessions and use bulk lifecycle operations for concurrent agent tasks or larger development workloads without relying on individual laptops.
A team defines a template with a machine image, warmup script, and credentials. Sessions can then be created from the dashboard, API, or an MCP call and are available after the environment warmup.
Yes. RDE supports persistent disk across restarts, and users can archive a session and restore it later. A session can also be destroyed when its state is no longer needed.
The source lists SSH, Claude Code, Codex, VS Code Remote, Cursor, JetBrains, VNC, Xcode, Gemini CLI, and Windsurf, as well as custom MCP clients. VNC provides GUI access where supported.
RDE offers macOS Apple Silicon VMs, including M2 Pro, M4, and M4 Pro machines in US and EU data centres, plus Linux clusters with sizes from 2 to 48 vCPUs. macOS environments include Xcode, Simulator, and the Apple toolchain; Linux environments support Docker and build toolchains.
The source lists Basic and Pro plans with up to 1,440 included minutes per month per OS, pay-as-you-go usage up to a monthly cap, and an Enterprise option with custom capacity, minute pools, concurrency limits, and dedicated or private cloud environments. Exact plan pricing varies by plan and billing frequency.
Traffic data is for reference only.
gtm-api.com
GTM API is an MCP-first LinkedIn API that lets AI agents search, connect, message, scrape, and enrich data on users’ own LinkedIn accounts. It provides the same typed contract through MCP, REST, and webhooks for GTM teams, agencies, platforms, and custom agent workflows.
box.ascii.dev
Box is a cloud sandbox service from ASCII that provides persistent Ubuntu VMs for agents, developers, and automated workflows. It offers SSH, Docker, snapshotting, per-machine IPv4, and CLI/API/SDK access.
www.hyperbrowser.ai
Hyperbrowser provides on-demand cloud browsers and sandboxes for AI agents, web automation, scraping, testing, and agentic code execution. It connects browser workflows through an API, Playwright, Puppeteer, Python, or Node.js.
steel.dev
Steel is open-source browser infrastructure for AI agents and web automation. It provides cloud browser sessions through an API, with support for common browser automation tools and workflows such as scraping, research, RPA, and agent-driven web tasks.
usefiretower.com
Firetower is an open-source, self-hosted control plane for running coding agents on servers you own. It lets developers start agent sessions from repositories, monitor them from desktop or mobile clients, review changes, and ship branches without keeping the initiating device online.
opentrade.io
OpenTrade is an open-source trading harness for Claude Code and Codex agents. It provides a repository-based app, agent templates, and scheduling-oriented run management for automated trading workflows.