Gitpod favicon

Gitpod
Development environments built for both humans and AI

What is Gitpod?

Gitpod offers automated, standardized, and secure development environments tailored for both individual developers and enterprise teams. It allows engineers to define tools, dependencies, and extensions as code using Dev Containers, eliminating manual setup and ensuring consistency across projects. These environments can be self-hosted in a user's cloud infrastructure or run locally via Gitpod Desktop, providing flexibility and control over the development setup.

Designed to enhance developer productivity, Gitpod helps reduce environment setup time, automate common workflows, and facilitate faster onboarding. It integrates seamlessly with various editors, CLIs, source control systems, and AI coding assistants. Security is a core aspect, featuring isolated source code, granular access controls, advanced encryption, network control, and comprehensive audit logging, ensuring source code and IP remain secure within the user's network perimeter.

Features

  • Self-Hosting: Deploy development environments in your own cloud or run locally via Gitpod Desktop.
  • Dev Containers: Define development environments as code, specifying tools, dependencies, and extensions.
  • Automation: Automate common development workflows like database seeding and infrastructure provisioning.
  • Editor/CLI Integration: Use preferred editors (like VS Code browser) or command-line interfaces.
  • AI Assistant Integration: Configure and use AI code assistants across environments.
  • Zero-Trust Security: Offers isolated source code, granular identity/access management, encryption, and audit logs.
  • Scalability: Supports up to 896 cores, 12TB RAM, and GPU capabilities.
  • Infrastructure Runners: Self-hostable infrastructure for running dev environments.

Use Cases

  • Standardizing development environments across teams.
  • Accelerating developer onboarding and time-to-first-PR.
  • Improving overall developer productivity and satisfaction.
  • Enhancing source code security with isolated environments and access controls.
  • Integrating AI coding assistants securely into development workflows.
  • Enabling developer self-service for environment setup and configuration.
  • Replacing traditional Virtual Desktop Infrastructure (VDI) for development.
  • Managing development environments for AI coding agents.

FAQs

  • Where do Gitpod development environments run?
    Development environments can be self-hosted in your cloud or run locally via Gitpod Desktop.
  • What development environment sizes are available?
    Environments support up to 896 cores, 12,200 GB RAM, and include GPU support. They can be deployed in any cloud region.
  • How easy is it to self-host Gitpod?
    Self-hosting Gitpod typically takes less than 3 minutes and does not require extensive AWS or infrastructure knowledge.
  • Are there underlying cloud infrastructure costs when self-hosting?
    Yes, while the fixed cost for self-hosting Gitpod is minimal (around $8/month, potentially covered by AWS free tier), variable costs depend on usage, environment duration, and workspace class chosen.
  • What are concurrently running development environments in Gitpod?
    These are development environments running simultaneously within an organization, enabled by isolated workloads and horizontally scalable runners.

Helpful for people in the following professions

Related Tools:

Blogs:

  • Best AI tools for recruiters

    Best AI tools for recruiters

    These tools use advanced algorithms and machine learning to automate tasks such as resume screening, candidate matching, and predictive analytics. By analyzing vast amounts of data quickly and efficiently, AI tools help recruiters make data-driven decisions, save time, and identify the best candidates for open positions.

  • Best AI Tools For Startups

    Best AI Tools For Startups

    we've compiled a straightforward list of user-friendly AI tools designed to give startups a boost. Discover practical solutions to streamline everyday tasks, enhance productivity, and gain valuable insights without the need for a tech expert. Learn where and how these tools can be applied in your startup journey, from automating repetitive tasks to unlocking powerful data analysis. Join us as we explore the features that make these AI tools accessible and beneficial for startups in various industries. Elevate your business with technology that works for you!

  • Best text to speech AI tools

    Best text to speech AI tools

    Text-to-speech (TTS) AI tools are designed to convert written or text-based content into natural-sounding spoken audio. These tools utilize various deep learning and neural network architectures to generate human-like speech from textual input.

Didn't find tool you were looking for?

Be as detailed as possible for better results