How to Actually Start Contributing to Open Source AI Projects (A Step-by-Step Guide)
A step-by-step guide on how to effectively contribute to open-source AI projects, from building trust in the community to making your first code contribution and becoming a regular contributor.
Why it matters
Contributing to open-source AI projects is a great way for developers to gain practical experience, build their reputation, and potentially get hired by the companies behind these projects.
Key Points
- 1Start by joining the community, fixing documentation, and helping others to build credibility
- 2Learn the codebase by building something with it, running tests, reading issues, and studying merged PRs
- 3For your first code contribution, pick a 'good first issue', discuss your approach, follow the project's style guide, and submit a well-documented PR
- 4Become a regular contributor by tackling harder issues, helping review other PRs, and specializing in certain areas
Details
The article provides a comprehensive guide on how to start contributing to open-source AI projects. It emphasizes the importance of building trust within the community first by joining the communication channels, fixing documentation issues, and helping other users. In the second phase, contributors are advised to familiarize themselves with the codebase by building small projects, running tests, and studying past contributions. When ready to make the first code contribution, the guide recommends starting with a 'good first issue', discussing the approach with maintainers, and submitting a well-documented PR that follows the project's style guide. Finally, the article encourages contributors to become regular members of the community by taking on more challenging tasks, helping review other PRs, and specializing in certain areas of the project.
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