Contribute to OpenSearch: Build Your Skills While Advancing Open Technolo...
summary
OpenSearch runs across 133 repositories with core search in Java, the dashboard in TypeScript, ML Commons offering RCF/regression and connectors for external models, kNN and neural search as separate repos, and cross‑cluster replication implemented in Kotlin as an active‑passive index‑level feature. Contribution path emphasizes filtering good first issues, prioritizing test bugs and null‑check fixes or stack‑trace targets, making small iterative PRs, and building locally via Gradle and developer guide. Community interaction happens on Slack, weekly triage meetings, and GitHub reviews.
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chapters (11)
- 0:00Contributing to OpenSearch
- 1:50Benefits and areas
- 3:11OpenSearch overview
- 7:49Sub-projects by tech
- 15:55Good first issues
- 19:56First-time contributor tips
- 26:59Best practices
- 31:10Community engagement
- 35:22Common pitfalls
- 36:51Summary and next steps
- 40:54Q&A
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