Gitpod

Why Choose Gitpod?

Gitpod is best understood today through its current name: Ona. What started as a one-click cloud IDE for GitHub has evolved into a platform for reproducible cloud development environments and background software agents. That matters because the modern problem is no longer only “how do I open a repo in the browser?” It is also “how do humans and agents run code safely, repeatedly, and under organizational control?”

The product is most compelling for teams that want environment standardization without forcing every developer to maintain a fragile local setup. It is also increasingly relevant for AI engineering workflows, where agents need isolated, preconfigured places to inspect code, run commands, test changes, and produce work that humans can review.

Core Workflow

A practical workflow begins with a project connected to source control. The team defines the environment through Dev Containers, startup tasks, services, dotfiles, secrets, and optional prebuilds. A developer or agent then creates an environment from a branch or project, connects through a preferred editor, and starts work with the same tooling every time.

The newer Ona workflow expands this into automation. Environments can be created for pull request events, schedules, webhooks, or issue-tracker tasks. Agents can work inside those same environments, using the same tools a developer would use. This makes the environment layer more important than the editor itself.

Use Cases

Gitpod/Ona fits developer onboarding, remote development, secure BYOD access, standardized enterprise environments, pull request review, temporary debugging, code migrations, CVE remediation, agent execution, and scheduled engineering automation. It is especially useful where local development is expensive to support or where security teams want ephemeral, governed workspaces.

It is less ideal if the goal is only a simple front-end playground or a prompt-to-app tool. For lightweight examples, StackBlitz or CodeSandbox may be faster. For non-technical app generation, Replit AI, Bolt.new, Lovable, or v0 may be more appropriate. Gitpod/Ona is more about professional development environments and controlled execution.

Comparison to Alternatives

Compared with GitHub Codespaces, Gitpod/Ona is less tied to GitHub and more oriented toward cross-tool environments, background agents, and governance. Codespaces is the simpler default for teams fully standardized on GitHub and VS Code. Gitpod/Ona becomes more interesting when the organization needs VPC deployment, multi-source workflows, custom policies, or agent execution infrastructure.

Compared with CodeSandbox, Gitpod/Ona is more enterprise-CDE and automation focused. CodeSandbox is stronger as a sandbox and SDK platform for isolated code execution and browser collaboration. Compared with StackBlitz, Gitpod/Ona uses cloud environments instead of browser-native WebContainers, making it better for heavier or more controlled workloads.

Compared with Devin or Google Antigravity, Gitpod/Ona is more infrastructure-oriented. It provides environments and governance for humans and agents; Devin and Antigravity are more visibly agent-product experiences. In practice, these categories can overlap as engineering teams combine agents with governed environments.

Best Configuration

The best setup starts with a clean Dev Container configuration. Define the image, system packages, editor extensions, startup tasks, ports, services, and environment variables as code. Then add prebuilds for expensive setup steps and choose environment classes based on real project needs rather than defaulting to the largest available machine.

For teams using agents, add AGENTS.md, skills, command deny lists, MCP controls, and clear rules for what agents may do. Enterprise teams should configure SSO/OIDC, org-wide secrets, audit trails, RBAC, and VPC networking before allowing sensitive repositories or production-adjacent systems into the platform.

Migration Notes

Existing Gitpod Classic users should treat the migration as both a naming change and an architecture shift. The old Gitpod mental model was workspace-first: open a repo, run a preconfigured environment, code in the browser. The Ona model is broader: environments, agents, automations, governance, and VPC runners all become part of the platform.

During migration, inventory .gitpod.yml files, devcontainer.json files, prebuilds, secrets, Git provider connections, workspace classes, IDE preferences, and automation scripts. Then decide which pieces become Ona projects, environment classes, automations, or agent configuration. For documentation and SEO, keep Gitpod aliases because many developers will continue searching for the old name long after the product has moved to Ona.