🎉 v0.11.5-beta Released: User Feedback Sprint Complete! #5
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Release Date: November 4, 2025
Tag: v0.11.5-beta
Sprint Duration: 12 hours (estimated 3-4 weeks) - 30x faster! 🚀
🌟 Major Milestone: First Production User!
We're incredibly excited to announce that v0.11.5-beta has been validated in production by a real user in their MATLAB project! This release addresses critical user feedback delivered in record time.
This is a huge milestone for the project - our first confirmed production deployment! 🎊
✨ What's New
This release brings four major features that were directly requested by users:
1️⃣ Nested Datasets Support (TASK-013)
Finally! Datasets can now be created in arbitrarily nested groups:
✅ User validated in MATLAB v7.3 complex number workflow!
2️⃣ Group Attributes Support (TASK-014)
Attributes are no longer limited to datasets - groups can now have attributes too!
Perfect for metadata-heavy workflows like MATLAB v7.3 files.
3️⃣ Indirect Blocks for Fractal Heap (TASK-016)
No more 512KB limits! The fractal heap now automatically scales beyond the single direct block limit.
Before: ~300 attributes maximum
Now: Unlimited attributes (tested with 200+)
This enables:
4️⃣ Link Support System (TASK-015)
A comprehensive link system with 2,486 lines of code and 36 tests:
✅ Hard Links (FULL Implementation)
Features:
🚧 Soft & External Links (MVP)
API exists with comprehensive validation, returns clear "not yet implemented" message:
Why MVP?
Security: Path traversal prevention built-in! 🔒
📊 Quality Metrics
🎓 Development Insights
The Power of AI-Assisted Development
This sprint showcased the effectiveness of our go-senior-architect agent:
All while maintaining:
User Feedback Loop
From user request to production deployment:
This tight feedback loop is exactly what we aimed for!
🗺️ Roadmap Update
Completed (v0.11.5-beta) ✅
Next Up (v0.12.0)
Future (v1.0.0)
See our ROADMAP.md for the complete picture!
📦 Try It Now!
Requirements:
🙏 Thank You!
Special thanks to:
💬 We Want to Hear From You!
Are you using HDF5 Go in production? We'd love to hear about your use case! Share your story in the comments below. 👇
🔗 Links
Happy coding! 🚀
Posted by: @scigolib HDF5 Team
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