DMP 25 week 03 blog by Aman Chadha (sugarlabs#244)

* DMP Week-2 Blog

* DMP '25 Week 02 Update by Aman Chadha

* DMP Week-3 Blog

Author: ac-mmi

src/constants/MarkdownFiles/posts/dmp-25-AmanChadha-week03.md

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+---
+title: "DMP '25 Week 03 Update by Aman Chadha"
+excerpt: "Translated RAG-generated context strings, initiated batch processing, and planned for automated context regeneration"
+category: "DEVELOPER NEWS"
+date: "2025-06-23"
+slug: "2025-06-23-dmp-25-aman-chadha-week03"
+author: "@/constants/MarkdownFiles/authors/aman-chadha.md"
+tags: "dmp25,sugarlabs,week03,aman-chadha"
+image: "assets/Images/c4gt_DMP.png"
+---
+
+<!-- markdownlint-disable -->
+
+# Week 03 Progress Report by Aman Chadha
+
+**Project:** [JS Internationalization with AI Translation Support](https://github.com/sugarlabs/musicblocks/pull/4459)  
+**Mentors:** [Walter Bender](https://github.com/walterbender), [Devin Ulibarri](https://github.com/devinulibarri)  
+**Assisting Mentors:** *None this week*  
+**Reporting Period:** 2025-06-17 – 2025-06-23  
+
+---
+
+## Goals for This Week
+
+- Translate a sample set of RAG-generated context strings using AI-powered tools.
+- Share Japanese translation variants (Kana and Kanji) with mentors for review.
+- Begin building a batch-processing workflow to generate context for all 1535 msgid entries in the .po files.
+- Plan an update pipeline to regenerate context for newly added or reused translation strings automatically.
+
+---
+
+## This Week’s Achievements
+
+1. **Translation of RAG-Generated Contexts**  
+   - Translated ~70 RAG-generated context descriptions using DeepL.
+   - Shared English and Japanese translations with mentors Walter and Devin for review.
+   - For Japanese, provided both **Kana** and **Kanji** variants to ensure localization accuracy.
+
+2. **Batch Processing Pipeline Development**  
+   - Initiated work on a batch-processing system to automate RAG context generation for all 1535 msgid entries in the translation .po file.
+   - This will drastically reduce manual overhead and improve coverage.
+
+3. **Planning for Context Maintenance Workflow**  
+   - Designed a future-proofing plan to automatically detect newly added or reused msgids in pull requests.
+   - Began outlining a GitHub Actions-based workflow to regenerate context chunks when changes are merged into the repo.
+
+---
+
+## Challenges & How I Overcame Them
+
+- **Challenge:** Japanese localization required thoughtful distinction between script types (Kana vs Kanji).  
+  **Solution:** Generated both forms using translation tools and consulted native guidance to ensure cultural appropriateness.
+
+- **Challenge:** Scaling RAG context generation to 1500+ entries without losing efficiency.  
+  **Solution:** Started designing a batch system to streamline the entire generation process and set up hooks for automation in future updates.
+
+---
+
+## Key Learnings
+
+- Multi-language support requires nuanced translation strategies, especially for languages like Japanese.
+- Batch automation is essential when working with large-scale i18n datasets and AI-generated content.
+- Proactive planning for long-term maintenance helps keep i18n tooling relevant as the codebase evolves.
+
+---
+
+## Next Week’s Roadmap
+
+- Complete batch-processing implementation for generating RAG context for all msgids.
+- Add persistence/storage layer to cache generated results and avoid recomputation.
+- Set up a GitHub workflow for regenerating context on new PRs that modify or add translation strings.
+
+---
+
+## Resources & References
+
+- **Music Blocks Repository:** [github.com/sugarlabs/musicblocks](https://github.com/sugarlabs/musicblocks)
+- **DeepL Translator API:** [deepl.com/docs-api](https://www.deepl.com/docs-api)
+- **GitHub Actions Docs:** [docs.github.com/actions](https://docs.github.com/actions)
+- **RAG Concepts:** [arxiv.org/abs/2005.11401](https://arxiv.org/abs/2005.11401)
+
+---
+
+## Acknowledgments
+
+Thanks to mentors Walter Bender and Devin Ulibarri for their ongoing guidance, especially on translation validation and workflow design.
+
+---