Ona (formerly Gitpod): A Claude Code Alternative for Enterprise Background AI Agents
Ona is an enterprise platform for running background AI agents in governed cloud environments, positioned around a "task-in, PR-out" workflow model. Originally built as Gitpod — a well-established cloud development environment provider — the company rebranded to Ona to reflect its pivot toward agentic AI workloads. As a Claude Code alternative, Ona targets enterprise engineering organizations that need to run AI coding agents at scale with governance controls, VPC isolation, and Fortune 500-grade compliance requirements.
vs Claude Code: Quick Comparison
| Feature | Ona (formerly Gitpod) | Claude Code |
|---|
| Interface | Cloud platform (background agents) | CLI / Terminal |
| Primary function | Enterprise background AI agent orchestration | Interactive AI coding in terminal |
| Target users | Enterprise engineering teams, Fortune 500 | Individual developers, small teams |
| Governance | VPC isolation, kernel-level policy, SOC 2 | Limited enterprise governance |
| Workflow model | Task-in → PR-out (background, async) | Interactive, synchronous |
| Pricing | OCU-based credits + Enterprise custom | Usage-based Anthropic API |
| Self-hosting | VPC deployment option | No |
| Open source | No (Gitpod was partially open source) | No |
Key Strengths
- Task-in, PR-out async agent workflow: Ona's core model allows engineering teams to submit coding tasks — bug fixes, code migrations, CVE remediations — and receive pull requests as output, with agents running in the background without requiring a developer to monitor each step. This asynchronous model is fundamentally different from interactive CLI tools and suits organizations that want AI to handle large batches of defined tasks with human review at the PR stage.
- Enterprise governance with VPC and kernel-level policy: Ona provides deployment options inside a customer's own VPC, with kernel-level policy enforcement that controls what agents can access, execute, and communicate with. This level of governance is specifically designed for regulated industries and Fortune 500 enterprises that cannot run AI agents in shared multi-tenant cloud environments without strict security boundaries.
- SOC 2 compliance: Ona holds SOC 2 certification, addressing a common procurement requirement for enterprise software purchases. This reduces the compliance evaluation burden for security and procurement teams, especially compared to open-source or startup AI coding tools that may not have formal audit certifications.
- Proven infrastructure from Gitpod: Ona is built on the engineering foundation of Gitpod, a company with years of production experience providing cloud development environments to large engineering organizations. The platform's infrastructure for ephemeral, containerized environments is mature and battle-tested, which provides reliability that purpose-built AI agent startups may lack.
- Designed for large-scale code migration and CVE remediation: Ona specifically targets high-value enterprise use cases such as codebase migration (e.g., language version upgrades, framework transitions) and automated CVE remediation across large repositories. These tasks are poorly suited to interactive CLI tools and are where Ona's batch, governance-first approach adds the most value.
Known Limitations
- Not designed for interactive development workflows: Ona is an async background agent platform, not an interactive coding assistant. Developers who want real-time autocomplete, instant code suggestions, or back-and-forth conversation with an AI while writing code will need a separate tool. Ona's model is task → background processing → review, not type → suggest → accept.
- Credit-based pricing with opaque cost modeling: Ona's pricing is based on OCUs (Ona Compute Units), which are not self-explanatory without consulting their documentation. Free access is limited to a one-time 40 OCU allocation, and costs for higher volumes require direct contact for Enterprise plans. This makes budget planning difficult without a sales conversation.
- Enterprise-focus limits individual developer value: Ona's governance, VPC integration, and compliance features are designed for large organizations. Individual developers, small startups, or teams without enterprise compliance requirements will find most of Ona's differentiating features irrelevant, and the OCU pricing model less attractive than flat-rate alternatives.
- Rebrand from Gitpod may cause confusion: The transition from Gitpod to Ona represents a significant product pivot. Teams familiar with Gitpod as a cloud dev environment should note that Ona's focus is now primarily on AI agents, not on providing general-purpose cloud IDE environments.
Best For
Ona is best suited for enterprise engineering organizations — particularly in regulated industries such as finance, healthcare, and government — that need to run AI coding agents at scale with strict governance, VPC isolation, and compliance certification. It is purpose-built for use cases like automated code migration across large monorepos, batch CVE remediation, and other high-volume, well-defined tasks where async PR-out workflows are preferable to interactive agent sessions. Fortune 500 engineering teams evaluating AI at the organizational level, rather than individual developer tooling, are Ona's primary audience.
Pricing
- Free: 40 OCUs (Ona Compute Units) — one-time allocation, no ongoing free tier
- Core: 80–2,200 OCUs/month — self-serve plans for teams
- Enterprise: Custom pricing — VPC deployment, dedicated support, custom OCU volumes, compliance features
Pricing verified from the official Ona website. Always check the official source for the latest pricing, as plans may change.
Tech Details
- Type: Cloud platform for enterprise background AI agents
- Interfaces: Web dashboard, API, CLI (for task submission); PR output via GitHub/GitLab integration
- Key features: Task-in/PR-out async workflow, VPC deployment, kernel-level policy enforcement, code migration automation, CVE remediation, SOC 2 certification
- Privacy / hosting: Cloud-hosted; VPC deployment available for Enterprise customers
- Compliance: SOC 2 certified
- Formerly: Gitpod (rebranded to Ona)
When to Choose This Over Claude Code
- You need to run AI coding agents at enterprise scale with governance controls, VPC isolation, and kernel-level policy enforcement.
- Your organization requires SOC 2 certification before adopting any AI coding tool in production workflows.
- Your use case involves large-scale batch tasks — code migrations, CVE remediations, automated refactors — where async PR-out workflows are more practical than interactive sessions.
- You need the agent to run in your own VPC environment without sharing compute with other tenants.
- Your procurement process requires a formal enterprise contract with dedicated support and SLAs.
When Claude Code May Be a Better Fit
- You are an individual developer or small team that needs an interactive AI coding assistant in the terminal, rather than an async batch agent platform.
- Your tasks are conversational and iterative — writing new features, debugging in real-time, or exploring codebases interactively — rather than defined, batch-submittable jobs.
- You want transparent, usage-based token pricing rather than an OCU credit system that requires estimating compute costs per task.
Conclusion
Ona (formerly Gitpod) represents a distinct category of Claude Code alternatives: not an interactive coding assistant, but an enterprise platform for background AI agents with serious governance and compliance infrastructure. For organizations running AI at scale across large codebases — particularly for code migration and CVE remediation — Ona's task-in/PR-out model and enterprise controls address needs that interactive CLI tools like Claude Code cannot. Individual developers and small teams are better served by other tools in this space.
Sources
FAQ
What happened to Gitpod? Is Ona the same company?
Yes. Ona is the rebranded form of Gitpod. The company pivoted from providing general-purpose cloud development environments to focusing on enterprise AI agent orchestration. The infrastructure and engineering team are largely the same, but the product focus has shifted significantly toward background AI agents with enterprise governance.
What are OCUs (Ona Compute Units)?
OCUs (Ona Compute Units) are Ona's proprietary credit system for metering compute usage. Free accounts receive a one-time allocation of 40 OCUs. Paid Core plans range from 80 to 2,200 OCUs per month. The exact mapping of OCUs to tasks or time depends on the nature of the workload. For precise cost modeling, consult Ona's official documentation or sales team.
Is Ona suitable for individual developers?
Ona's feature set and pricing model are primarily designed for enterprise engineering organizations. Individual developers or small startups looking for an interactive AI coding assistant will likely find tools like Claude Code, Cursor, or Supermaven more appropriate. Ona's one-time 40 OCU free allocation allows evaluation, but the platform's strengths emerge at organizational scale.
Does Ona support VPC deployment?
Yes. Enterprise customers can deploy Ona within their own VPC, with kernel-level policy enforcement controlling agent access. This is designed for organizations with strict data residency, network isolation, or regulatory requirements that preclude using shared multi-tenant cloud environments.
What tasks is Ona best at?
Ona is specifically designed for large-scale, well-defined coding tasks that can be submitted in batch and reviewed as pull requests: code migrations (e.g., upgrading language versions, migrating frameworks), CVE remediation across large codebases, automated refactoring, and similar structured workloads. It is not optimized for open-ended, conversational AI coding assistance.
