Hi everyone! 
I’m preparing for GSoC 2026 and excited to contribute to Jupyter.
Background:
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Web development (React, TypeScript, JavaScript)
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Python experience
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AI/ML tools and LLM APIs
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UI/UX work
Goals:
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Start with documentation or beginner-friendly issues
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Learn JupyterLab codebase
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Build relationship with community
Looking for:
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Guidance on first good issue to tackle
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Best practices for contributing
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Mentorship opportunities
Update: Already Started Contributing! 
I’m excited to share that I’ve already started contributing to JupyterLab and have submitted 3 pull requests:
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PR #18382 - Cell height heuristic fix (performance improvement)
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PR #18384 - Completer error handling (robustness enhancement)
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PR #18385 - Search/replace UI improvement (user experience)
What I’ve Learned:
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JupyterLab’s TypeScript architecture
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Git workflow with forks and upstream repos
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Professional contribution process (issues, PRs, reviews)
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Different areas: notebook performance, completer system, document search
Current Status:
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All 3 PRs are submitted and waiting for maintainer review
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Each addresses a different “good first issue”
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Learning a lot about code review process
Really enjoying the contribution process and excited to continue learning from the community! 
I’ve already identified Issue #16179 (cell collapsing documentation) as a potential starting point, but I’m open to other suggestions as well.
Thanks for having me! 