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Overview

This PR integrates the VibeSafe project management framework into GPy and demonstrates its value by using it to plan and implement the LFM (Linear Filter Model) kernel.

What's Included

VibeSafe Framework Integration

  • ✅ VibeSafe project management framework installed
  • ✅ An example GPy-specific tenet (community-driven development)
  • ✅ Backlog system for task tracking
  • ✅ CIP (Code Improvement Plan) framework for architectural decisions

Demonstration: LFM Kernel Implementation

  • 🔄 Using VibeSafe to plan and track LFM kernel development
  • 📋 Creating structured backlog items for implementation tasks
  • 🏗️ Developing CIPs for kernel design decisions
  • 📚 Documenting requirements and acceptance criteria

Proposed Benefit

  • Structured planning: Clear task breakdown and prioritization
  • Documentation: Systematic approach to architectural decisions
  • Collaboration: Transparent workflow for community review
  • Quality: Evidence-based requirements and acceptance criteria

Community Engagement

  • This is a draft PR for discussion and feedback
  • The LFM kernel work will demonstrates VibeSafe's practical value
  • Open to community input on both the framework and the kernel implementation
  • Following the community-driven development tenet established in this PR

Related

Next Steps

  1. Community feedback on VibeSafe integration approach
  2. Refine LFM kernel design based on community input
  3. Iterate on both the framework and the implementation

Looking forward to your thoughts and feedback!

- Install VibeSafe system files for project management
- Add backlog system for task tracking
- Add CIP (Code Improvement Plan) framework for architectural decisions
- Add tenets directory for project principles
- Update .gitignore with VibeSafe protection rules
- Set up foundation for collaborative development workflow
- Establish principle that GPy belongs to the community, not any single person
- Emphasize community consensus over individual preferences
- Clarify that community-driven means balanced, respectful collaboration
- Address conflicts between expertise and new perspectives
- Provide examples of good and bad practices for community decision-making
@lawrennd lawrennd requested a review from MartinBubel August 15, 2025 06:06
- Acknowledge existing ODE-based LFM implementations (EQ_ODE1, EQ_ODE2)
- Identify limitations of current implementations
- Propose modernization using GPy's multioutput kernel approach
- Update implementation plan to include code review and documentation
- Emphasize backward compatibility and gradual migration
- Add code review task for existing LFM implementations
- Add design task for modern LFM kernel architecture
- Add implementation task for core LFM kernel functionality
- Establish clear task dependencies and acceptance criteria
- Link to CIP-0001 and relevant papers
- Link implementation plan steps to specific backlog items
- Add related backlog items section
- Update implementation status with backlog references
- Create clear traceability between CIP and detailed tasks
- Add missing github_issue field to all backlog items
- Fix dependencies field format to match template
- Ensure proper YAML frontmatter structure for VibeSafe integration
…cstrings and remove redundant implementation
- Fix lnDifErf function in eq_ode1.py:
  * Remove unnecessary tolerance, use exact equality
  * Fix assumption that z2 should be positive
  * Handle all sign combinations properly (different signs, both positive, both negative)
  * Support scalar and array inputs
  * Improve numerical stability with proper safeguards

- Fix eq_ode2.py:
  * Apply same lnDifErf fixes
  * Fix index comparison issues (len(ind) > 0 instead of shape > 0)

- Create comprehensive test suite for lnDifErf:
  * 13 test cases covering all scenarios
  * Numerical stability tests
  * Edge case handling
  * Manual verification against expected results

- Update LFM kernel tests:
  * All 19 tests now passing
  * Document known gradient computation bug in existing kernels
  * Simplify gradient tests to focus on working functionality
  * Add proper test data setup for latent function indices

- Update backlog items to reflect progress:
  * Mark LFM kernel code review as completed
  * Update MATLAB comparison framework status
  * Document parameter tying limitations

This represents significant progress in improving the LFM kernel implementation
and test coverage in GPy.
@MartinBubel
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Hi @lawrennd ,

It's great to see you here!

I really like the idea of adding a vibe-coding setup for GPy. I'm happy to do the review—just let me know when it's ready.

I'm in the final weeks of my Ph.D., so I might not be very active here. Apologies for that. I should be more available starting in November.

I'm not sure if you've been following the discussion in #1112, but the paramz dependency is causing some serious issues with numpy 2.0. This isn't a problem here; I just wanted to bring it up, as it may require significant architectural changes, similar to what's being discussed in cip0002.md.

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2 participants