Gitpod Rebrands as Ona Shifting to AI-Driven Software Engineering

Gitpod, previously known for its browser-based cloud development environments, has undergone a significant rebranding, now operating as Ona. The move signals a strategic shift from IDE-centric workflows to an AI-powered platform designed to autonomously handle software engineering tasks. Ona now brands itself as "mission control for your personal team of software engineering agents," integrating AI-driven tools for planning, coding, reviewing, and deploying software.

Key Features of Ona’s Platform

The platform introduces Ona Agents, high-autonomy AI collaborators operating in fully sandboxed environments with OS-level isolation to prevent cross-environment interference. According to internal metrics, these agents co-authored 60% of merged pull requests and contributed 72% of merged code last week within Ona’s own engineering teams. External customers report a 4x increase in development throughput.

Ona emphasizes cross-device compatibility, functioning seamlessly via browser-based VS Code, smartphones, or desktop IDEs. Its ecosystem comprises three core pillars:

1. Ona Environments: API-first, sandboxed developer environments preconfigured with dependencies and defined via devcontainer.json and automations.yml.
2. Ona Agents: AI-powered collaborators supporting workflows across devices, featuring slash commands for task automation.
3. Ona Guardrails: Enterprise-grade security features like audit trails, RBAC, SSO/OIDC, and deployment in user-defined VPCs.

Competitive Landscape

Compared to rivals like GitHub Copilot—an inline coding assistant—Ona differentiates itself with autonomous agents and sandboxed execution. Similarly, GitHub Codespaces offers cloud-based container environments but lacks Ona’s AI-native orchestration.

Gitpod’s legacy model provided ephemeral cloud IDEs with compliance safeguards. Ona’s evolution replaces manual workflows with AI-driven automation while maintaining VPC security and enterprise integration. This positions it distinctly against tools like Copilot or Codespaces, which focus on individual productivity rather than team-wide agent collaboration.