DevPod Pro is EOLing. What should you do?
Organizations face increasing pressure to deliver secure, compliant, and scalable solutions efficiently. With DevPod Pro sunsetting, the only thing left in the DevPod camp is the open-source edition—great for a DIY approach, but light on the SLAs, security hardening, and long-term roadmap enterprises need. And because the commercial team has moved on, staying on DevPod OS means betting on a codebase that’s unlikely to see timely updates or security patches. Gitpod is your turnkey, fully managed platform for the AI era—go from setup to ship in seconds with enterprise-grade compliance, zero-trust networking, and native agent integrations, all in one seamless service.
The hidden cost of DIY dev environments
Many teams begin with tools like DevPod because they offer flexibility and seem straightforward at first. But over time, the day-to-day reality becomes more difficult to manage. Environment setups require ongoing maintenance and coordination, onboarding new developers often involves a series of manual steps, and ensuring consistent security policies across machines starts to feel like its own full-time job.
What initially looked like a lean and customizable solution gradually introduces friction across the entire development process—slowing down delivery, increasing operational overhead, and making it harder for teams to scale with confidence.
Human-bot environment parity—no more ‘works on the bot’s machine.’
Once you bring autonomous agents into an already fragile toolchain, every library mismatch, missing secret, or policy drift doubles the friction. Gitpod eliminates that risk by launching both humans and agents into the exact same pre-built workspace—identical versions, variables, and guardrails included. Agents can run tests, push commits, and open PRs with the same reliability as your senior engineers, delivering predictable, audit-ready output instead of environment whack-a-mole.
Context-rich agents from second zero
Because each Gitpod workspace is pre-baked with the full repository, build cache, and domain-specific tooling, an AI agent starts its job as if it had spent weeks onboarding. It can trace dependencies, run the full test suite, and reason over the entire codebase the instant it comes online—eliminating the dead time traditional agent frameworks burn on cloning repos and installing dependencies.
Core benefits of Gitpod
Enterprise-grade security and compliance (SOC 2, audit logs, SSO)
Instant productivity with automated environment setups
Flexible deployment options (SaaS, self-hosted, local)
Comprehensive built-in integrations (GitHub, GitLab, Jira, CI/CD)
Collaborative workflows supporting human-AI collaboration
AI-ready infrastructure to scale and manage secure AI development
Detailed feature comparison
To better understand Gitpod’s value proposition compared to DevPod Pro, consider the following key differentiators:
| Feature | Gitpod Enterprise | DevPod Pro |
|---|---|---|
| Automated prebuilds | ✅ Start coding in seconds with pre-built environments | ⚠️ Depends on build and dependency installation time |
| Flexible deployment | ✅ Self-hosted, Gitpod managed, self-hosted/self-managed | ✅ SaaS, Self-hosted and local only |
| Built-in integrations | ✅ EC2, SSO, IAM, VPC | ⚠️ Limited, requires manual configuration |
| AI-ready infrastructure | ✅ Secure, auditable, reliable for accurate AI agent coding | ⚠️ Basic capabilities, limited scalability |
| Collaborative development | ✅ Rich, shared environments for seamless collaboration | ⚠️ Limited collaboration support |
| Operational ease | ✅ Managed platform, minimal overhead ✅ Instant, customizable dev container and automation configs via ai agent |
⚠️ High operational complexity (DIY model) ⚠️ Manual dev container config, no automation of services or tasks |
Powerful management and governance
Gitpod simplifies platform management by providing:
Unified control plane: Manage environments for developers and AI agents from one intuitive interface.
Policy enforcement: Consistent build configurations and policy application ensures compliance and secure access.
Comprehensive audit trails: Detailed, real-time logs simplify compliance and security audits.
Organizations leveraging Gitpod significantly reduce administrative burdens, allowing platform engineering teams to focus on strategic and high-value activities.
Effortless operations and scalability
Gitpod’s automated infrastructure reduces the day-to-day operational demands on platform engineering. IT and SRE teams with:
Automatic scaling: Resources dynamically scale based on actual usage - automatically provision more compute when teams grow and scale down during quiet periods to optimize costs.
Fully managed support: Dedicated support with zero-touch platform updates - Gitpod manages your infrastructure automatically while your data remains completely private.
Immediate environment setup: Preconfigured environments accelerate onboarding and productivity - new developers start coding in minutes instead of days with automated tooling and dependency installation.
Enterprises that transitioned to Gitpod have redirected their internal resources from maintenance to innovation, future-proofing their technology stacks.
Superior developer and AI experience
Gitpod enhances productivity for both developers and AI agents:
Zero setup delay: Developers start coding instantly in fully provisioned environments.
Optimized performance: Customizable cloud resources (CPU, GPU, storage) accelerate development tasks and testing for developers and agents alike
Collaborative flexibility: Easy team collaboration among human developers and AI-powered agents.
Teams adopting Gitpod report significant improvements in productivity and faster development cycles, particularly when integrating AI-driven workflows.
Future-proof AI integration
Gitpod is purpose-built to securely and effectively support AI-native development:
Secure AI operations: Autonomous AI agents run safely within isolated environments.
Context-rich environments: AI agents immediately have full context, avoiding delays and setup issues.
Centralized AI management: Manage AI tooling, identities, and access controls centrally.
Scalable AI agent operations: Effortlessly operate multiple AI agents with automatic scaling and management.
Companies using Gitpod achieve true human-bot environment parity: agents trace dependencies, run test suites, and ship code using the same pre-built workspaces as their development teams.
Ready to accelerate your development workflow?
Gitpod is the trusted, scalable solution for organizations seeking to streamline their development environments, enhance security, and seamlessly integrate AI capabilities.
