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Major documentation reorganization to reduce AI agent context size by ~58%
and establish sustainable maintenance practices.
## File Moves (Root → doc/)
- Move COMPLETED.md (new), HANDOFF*.md, *_ANALYSIS.md, *_SUMMARY.md to doc/
- Keep only 5 essential files in root: CLAUDE.md, GEMINI.md, PROJECT_CONTEXT.md, TODO.md, README.md
- Result: Clean root directory with clear project essentials
## New Documentation
- doc/CONTEXT_MAINTENANCE.md: Comprehensive guide for keeping context clean
- 4-tier hierarchy (Critical/Technical/Design/Archive)
- Maintenance schedules (after milestones, monthly, on-demand)
- Size targets, red flags, workflows
- Monthly checklist template
- doc/COMPLETED.md: Historical archive of completed milestones
- Moved "Recently Completed" sections from TODO.md and PROJECT_CONTEXT.md
- Detailed completion history (February 4-7, 2026)
- Frees up ~200 lines from active context
## Agent Config Updates
- CLAUDE.md: Restructured with 4-tier hierarchy
- Tier 1: Critical (always loaded) - 3 files
- Tier 2: Technical (always loaded) - 3 files
- Tier 3: Design (on-demand) - 9 files
- Tier 4: Archive (rarely) - 10 files
- Clear usage instructions for on-demand loading
- GEMINI.md: Same tier structure + Gemini-specific state snapshot
- Consistent with CLAUDE.md hierarchy
- Preserved agent-specific context
## Content Optimization
- PROJECT_CONTEXT.md: Removed verbose milestones (~160 lines)
- Replaced with concise "Current Status" summary
- Points to COMPLETED.md for history
- TODO.md: Removed Task #51 detailed plan (~200 lines)
- Marked Task #51 as completed
- Kept only active/next tasks
## Impact
- Context size: 70K → 29K tokens (58% reduction)
- Root directory: 15 → 5 files (67% cleaner)
- Tier 1-2 files: 7,329 words (well under 10K target)
- Documented maintenance process for sustainability
## Files Changed
Modified: CLAUDE.md, GEMINI.md, PROJECT_CONTEXT.md, TODO.md
New: doc/COMPLETED.md, doc/CONTEXT_MAINTENANCE.md
Moved: 10 technical docs from root to doc/
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Creates shared testing utilities for headless GPU effect testing.
Enables testing visual effects without windows (CI-friendly).
New Test Infrastructure (8 files):
- webgpu_test_fixture.{h,cc}: Shared WebGPU initialization
* Handles Win32 (old API) vs Native (new callback info structs)
* Graceful skip if GPU unavailable
* Eliminates 100+ lines of boilerplate per test
- offscreen_render_target.{h,cc}: Headless rendering ("frame sink")
* Creates offscreen WGPUTexture for rendering without windows
* Pixel readback via wgpuBufferMapAsync for validation
* 262,144 byte framebuffer (256x256 BGRA8)
- effect_test_helpers.{h,cc}: Reusable validation utilities
* has_rendered_content(): Detects non-black pixels
* all_pixels_match_color(): Color matching with tolerance
* hash_pixels(): Deterministic output verification (FNV-1a)
- test_effect_base.cc: Comprehensive test suite (7 tests, all passing)
* WebGPU fixture lifecycle
* Offscreen rendering and pixel readback
* Effect construction and initialization
* Sequence add_effect and activation logic
* Pixel validation helpers
Coverage Impact:
- GPU test infrastructure: 0% → Foundation ready for Phase 2
- Next: Individual effect tests (FlashEffect, GaussianBlur, etc.)
Size Impact: ZERO
- All test code wrapped in #if !defined(STRIP_ALL)
- Test executables separate from demo64k
- No impact on final binary (verified with guards)
Test Output:
✓ 7/7 tests passing
✓ WebGPU initialization (adapter + device)
✓ Offscreen render target creation
✓ Pixel readback (262,144 bytes)
✓ Effect initialization via Sequence
✓ Sequence activation logic
✓ Pixel validation helpers
Technical Details:
- Uses WGPUTexelCopyTextureInfo/BufferInfo (not deprecated ImageCopy*)
- Handles WGPURequestAdapterCallbackInfo (native) vs old API (Win32)
- Polls wgpuInstanceProcessEvents for async operations
- MapAsync uses WGPUMapMode_Read for pixel readback
Analysis Document:
- GPU_EFFECTS_TEST_ANALYSIS.md: Full roadmap (Phases 1-4, 44 hours)
- Phase 1 complete, Phase 2 ready (individual effect tests)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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