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Add OpenHands community guide
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# Join the OpenHands Revolution: Community Guide
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OpenHands is not just a tool you use in isolation. It gets stronger when the community around it shares templates, workflows, examples, and lessons learned.
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If you are new to OpenHands, the fastest way to level up is to learn how other people contribute, what kinds of projects are being built, and which resources help you avoid beginner mistakes.
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This guide gives you a practical entry point into the OpenHands community.
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## Why the community matters
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Open-source AI tools get better when users become contributors.
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The community helps by:
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- sharing real-world workflows
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- reporting bugs and edge cases
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- building extensions and examples
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- documenting best practices
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- improving onboarding for new users
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That matters because AI development tools evolve quickly. Community knowledge often becomes the fastest way to learn what actually works.
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## Getting started with contributions
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You do not need to be a core maintainer to contribute meaningfully.
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Good first contributions include:
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- improving documentation
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- fixing small bugs
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- adding examples
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- clarifying setup instructions
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- reporting reproducible issues
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- testing workflows and sharing feedback
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The best first contribution is one that solves a real pain point you personally hit.
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### A simple contribution workflow
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1. Find an issue or improvement area.
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2. Reproduce the problem locally.
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3. Make the smallest useful fix.
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4. Test the change.
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5. Open a clear PR with context.
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That workflow works whether you are fixing code or improving docs.
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## Top community project types
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There are a few patterns that show up again and again in successful open-source communities.
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### 1. Workflow guides
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These explain how to use OpenHands in real situations:
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- code review
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- feature implementation
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- debugging
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- environment setup
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- test automation
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### 2. Companion tools
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Community members often build small helpers around a core tool:
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- templates
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- starter repos
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- automation scripts
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- devcontainer examples
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- CI helpers
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### 3. Domain-specific examples
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Some projects focus on a particular workflow:
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- ML experiment tracking
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- data pipelines
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- transcription workflows
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- code generation workflows
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- enterprise development setups
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These examples are useful because they turn a general tool into something concrete.
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## Best practices for contributing effectively
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If you want your contribution to land well, keep these habits in mind.
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### Be specific
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A vague issue is harder to fix than a clear one.
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Better:
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> When I run X, I get Y in this file.
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Worse:
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> It doesn’t work.
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### Keep changes focused
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One issue, one PR when possible.
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That makes review easier and reduces the chance of merge delays.
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### Add validation
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Always include how you tested your change.
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Examples:
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- unit tests
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- manual repro steps
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- screenshots
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- logs
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- simple before/after notes
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### Respect existing patterns
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Look at how the project already handles:
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- naming
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- structure
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- tests
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- docs
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- formatting
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Matching the project style makes review smoother.
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## Success story patterns
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The strongest community projects tend to follow a few predictable patterns.
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### Pattern 1: Documentation → adoption
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Someone writes a better guide, and more people start using the tool correctly.
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### Pattern 2: Bug report → fix → better workflow
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A real user hits a bug, reports it clearly, and the fix improves the experience for everyone.
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### Pattern 3: Example project → repeatable template
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A single proof-of-concept becomes a reusable template for the rest of the community.
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That is how open-source tools mature.
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## Resource directory
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Here’s a simple resource list for OpenHands contributors:
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- **OpenHands GitHub repo** — source code, issues, pull requests
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- **Official documentation** — setup, usage, and workflow docs
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- **Issue tracker** — bugs, feature requests, contribution opportunities
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- **Community examples** — patterns from other users
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- **Daytona** — a related platform for reproducible AI development environments
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A good contributor should keep these close at hand.
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## How to find the best thing to work on
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If you want to contribute but don’t know where to start:
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- look for issues with clear reproduction steps
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- choose docs that are outdated or incomplete
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- fix confusing setup instructions
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- improve examples that new users will actually read
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- answer questions in issue threads when you can
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The easiest wins are often the most valuable ones.
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## What makes a contribution useful
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A useful contribution usually does at least one of these:
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- makes the tool easier to use
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- makes onboarding faster
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- reduces bugs
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- improves reliability
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- helps someone save time
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If your work does not do one of those things, it may still be fine — but those are the best signals of value.
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## Final takeaway
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The OpenHands community is strongest when people share what they learn.
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If you contribute with a clear problem, a focused fix, and a helpful explanation, you make the tool better for everyone. That is how open-source ecosystems grow: one useful contribution at a time.

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