6 reasons Gitpod is your most important AI investment

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Talia Moyal / Head of Outbound Product at Gitpod / May 13, 2025

AI is changing how software gets built and most teams are missing the foundation. You’re investing in Copilot, Cursor, or Windsurf. Building internal SWE agents. Experimenting with autonomous workflows. But here’s the problem: AI is only as powerful, secure, and scalable as the environment it runs in.

Gitpod is that environment.

It’s not an editor plugin or a code suggestion tool. It’s the infrastructure your AI needs to succeed. Whether you’re running agents in production, onboarding new developers, or rolling out internal copilots, Gitpod gives you fast, secure, context-rich development environments that are built for developers and AI, at enterprise scale.

1. AI is only as powerful as the environment it runs in

Agents don’t just need models, they need context. Gitpod provides clean, pre-configured environments with the right code, tools, and permissions baked in. You get better outputs and higher success rates when agents attempt real tasks.

2. You can’t trust agents without securing where they run

Secure connections are non-negotiable. Agents need access to sensitive code, secrets, APIs, and production infrastructure. Gitpod ensures they operate inside your VPC with full isolation, identity enforcement, and audit trails, so you can experiment quickly without opening new risk vectors. You get scale without sacrificing control.

3. It scales with you, without scaling your risk

Start with a single SWE agent, expand to clusters of autonomous agents. Gitpod makes it easy to spin up parallel, isolated environments without touching laptop power or creating shadow IT.

4. Developers become force multipliers

Gitpod doesn’t replace developers, it amplifies them. Your developers get the power to coordinate fleets of agents securely across services. It’s not the end of software developers, it’s the start of augmented engineering that requires a coordination layer to orchestrate agents autonomously and in parallel.

5. AI doesn’t run on plugins, they run on infrastructure

Your IDE can suggest code, but it can’t test, deploy, or secure it. Gitpod is where real work happens. It’s where code is compiled, tested, deployed, and governed, giving your engineering force the infrastructure layer to operate within safely.

Internal Developer Portals help you navigate your ecosystem. Gitpod makes it actionable. It’s the execution layer where agents and developers fix bugs, push commits, or launch services from inside a policy-controlled environment.


If you’re serious about AI, this is where you start

Gitpod is the only platform where developers and agents can build software together, securely and at scale. Before you buy another plugin, address your foundation.

Let’s talk about what Gitpod makes possible for your AI roadmap.

Standardize and automate your development environments today

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