🚀 Shimmy v1.9.0 Release Checklist - Kitchen Sink Architecture

Epic Win: One binary per platform with auto-GPU-detection. Solves 22+ user issues.

📋 Phase 1: Private Testing & Validation

Build & Test in Private Repo

Create test tag: git tag v1.9.0-test && git push private v1.9.0-test
Wait for CI/CD build (~30-45 minutes)
Monitor build logs for failures
Download all 5 binaries from private release

Binary Testing Checklist

Linux x86_64 (Kitchen Sink: CUDA+Vulkan+OpenCL)

Windows x64 (Kitchen Sink: CUDA+Vulkan+OpenCL)

GPU Backend Override Robustness Testing (CRITICAL - Prevents User Breakage)

Force invalid backend: --gpu-backend invalid (should error gracefully with helpful message)
Force unavailable backend: --gpu-backend cuda on non-NVIDIA (should fallback or error cleanly)
Backend priority verification: Multiple GPUs present, verify correct selection order
Backend env var override: Test SHIMMY_GPU_BACKEND=cuda environment variable
Concurrent backend instances: Multiple instances with different backends simultaneously
Backend switch mid-operation: Change backend flag during server restart
Document all error messages: Record exact error text for each failure scenario
Fallback behavior verification: Confirm auto-fallback to next available backend
Test on clean system: No GPU drivers installed, verify graceful degradation to CPU

macOS ARM64 (MLX GPU)

Download: gh release download v1.9.0-test --repo shimmy-private --pattern shimmy-macos-arm64
Version check: ./shimmy-macos-arm64 --version
Help command: ./shimmy-macos-arm64 --help
Server startup: ./shimmy-macos-arm64 serve --bind 127.0.0.1:11435
MLX detection test: ./shimmy-macos-arm64 gpu-info
Vision API test (if vision enabled)
Binary size check: Should be ~30-40MB

macOS Intel (CPU only)

Download: gh release download v1.9.0-test --repo shimmy-private --pattern shimmy-macos-intel
Version check: ./shimmy-macos-intel --version
Server startup: ./shimmy-macos-intel serve --bind 127.0.0.1:11435
Binary size check: Should be ~20-30MB

Linux ARM64 (CPU only)

Download: gh release download v1.9.0-test --repo shimmy-private --pattern shimmy-linux-aarch64
Version check (via QEMU or ARM machine): ./shimmy-linux-aarch64 --version
Binary size check: Should be ~20-30MB

Shimmy Vision Testing (CRITICAL)

Vision Feature Verification

Verify vision feature compiled in: ./shimmy-windows-x86_64.exe --help | grep -i vision
Check model download: First run should download MiniCPM-V model
Verify model path: SHIMMY_VISION_MODEL_PATH environment variable works
Check model directory: SHIMMY_VISION_MODEL_DIR custom location works

Vision API Testing - Windows x64

Start vision server: ./shimmy-windows-x86_64.exe serve --bind 127.0.0.1:11435
Test vision endpoint exists: curl http://127.0.0.1:11435/api/vision

Test image analysis (base64):

curl -X POST http://127.0.0.1:11435/api/vision \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Describe this image",
    "image": "data:image/jpeg;base64,<BASE64_IMAGE>",
    "max_tokens": 200
  }'

Test image analysis (URL):

curl -X POST http://127.0.0.1:11435/api/vision \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "What text is in this image?",
    "image_url": "https://example.com/test-image.jpg",
    "max_tokens": 300
  }'

Test streaming response: "stream": true in request body
Test WebSocket vision: Connect to ws://127.0.0.1:11435/ws/vision
Test PDF processing: Send PDF as base64, extract first page
Test error handling: Invalid image format, too large image
Test usage limits: Verify licensing integration (if applicable)

Vision API Testing - Linux x64

Start vision server with GPU: ./shimmy-linux-x86_64 serve --bind 127.0.0.1:11435 --gpu-backend auto
Test GPU acceleration: Check logs for GPU layer offloading
Test same API endpoints as Windows
Compare performance: GPU vs CPU vision processing
Test concurrent requests: Multiple vision API calls

Vision API Testing - macOS ARM64

Start vision server with MLX: ./shimmy-macos-arm64 serve --bind 127.0.0.1:11435
Test MLX GPU acceleration for vision
Test same API endpoints
Verify Metal Performance Shaders used

Vision Configuration Testing

Test SHIMMY_VISION_MAX_LONG_EDGE limit: Set to 1024, verify resize
Test SHIMMY_VISION_MAX_PIXELS limit: Set to 1000000, verify constraint
Test SHIMMY_VISION_DOWNLOAD_TIMEOUT_SECS: Set to 10, test timeout
Test SHIMMY_VISION_ALLOW_PRIVATE_IPS: Enable, test local URL
Test SHIMMY_VISION_TRACE=1: Enable, verify detailed logging

Vision Performance Benchmarks (CRITICAL - Sets User Expectations)

CPU-only vision inference: Time 5 image analyses (expect 15-45 seconds each)
CUDA vision inference: Time 5 image analyses (expect 2-8 seconds each)
Vulkan vision inference: Time 5 image analyses (expect 3-10 seconds each)
MLX vision inference (macOS): Time 5 analyses (expect 1-5 seconds each)
Create performance matrix table: Document all timings for README
Add README warning: "⚠️ CPU vision is 5-10x slower than GPU - GPU recommended for production"
Test large image processing: 1920x1080 screenshot
Test batch processing: 10 images sequentially
Test memory usage: Monitor during large image processing

Vision Integration Testing

Test vision + text generation: Both APIs in same server
Test vision with LoRA adapters (if applicable)
Test vision error recovery: Server continues after vision failure
Test vision logs: Proper logging without exposing sensitive data

Vision Documentation Verification

Check vision API documented in README
Check vision examples in docs/EXAMPLES.md
Check vision configuration in docs/CONFIGURATION.md
Check vision troubleshooting guide exists
Verify vision licensing info (if applicable)

Vision Licensing Testing (if applicable)

Test with valid license key: Vision works
Test without license key: Proper error message
Test with expired license: Proper error message
Test usage limits: Monthly page limits enforced
Test license validation: Keygen API integration works
Test offline grace period: 24-hour cached license

Test Results Documentation

Record binary sizes (create comparison table)
Screenshot GPU detection logs
Record vision performance benchmarks (CPU vs GPU)
Screenshot vision API responses with images
Document vision model download time and size
Document any failures or warnings
Test with real models (if available)

Cleanup Private Test

Delete test release: gh release delete v1.9.0-test --yes --repo shimmy-private
Delete test tag: git push --delete private v1.9.0-test

🧹 Phase 1.5: Repository Cleanup

Root Directory Markdown Cleanup

Audit all markdown files in root directory
Categorize: Keep public / Move to docs/ / Delete obsolete
Move internal strategy docs to .github/instructions/ or docs/internal/
Update .gitignore for internal documentation patterns
Remove duplicate/obsolete files
Organize release notes chronologically
Create README-INTERNAL.md for private notes (if needed)

Files to Review

Documentation Structure

Create docs/internal/ directory for private strategy docs
Create docs/releases/ directory for version-specific notes
Create docs/audits/ directory for forensic reports
Update root README.md to link to organized docs
Add CONTRIBUTING.md link to documentation structure

.gitignore Updates

Add pattern for internal markdown: docs/internal/**
Add pattern for temporary files: temp_*.txt, *_temp.md
Add pattern for local notes: *-LOCAL.md, *-PRIVATE.md
Verify no sensitive data in git history

📚 Phase 2: Documentation Overhaul

README.md Updates

Update download section with new binary names
Remove all references to backend-specific binaries (cuda, vulkan, opencl variants)
Add simple table: "Platform → Binary → Auto-detects"
Update GPU backend section to explain --gpu-backend auto
Add "What's New in v1.9.0" section highlighting Kitchen Sink
Update installation instructions
Add troubleshooting for --gpu-backend flag

Wiki Pages to Update

Installation Guide - new binary names
GPU Support Guide - explain auto-detection
Build from Source - mention pre-built binaries now cover all GPUs
Troubleshooting - remove "which backend?" questions
FAQ - add "How does GPU auto-detection work?"
Release Notes - create v1.9.0 page

New Documentation to Create

"GPU Auto-Detection Explained" wiki page
"Migrating from v1.8.x to v1.9.0" guide
"Binary Size Comparison" page (show trade-offs)
Update all quickstart guides

Code Documentation

Ensure --gpu-backend is well-documented in CLI help
Add comments explaining auto-detection logic in src/engine/llama.rs
Update API documentation (if applicable)

💳 Phase 2.5: License & Sales Pipeline Verification (CRITICAL - Revenue Protection)

Shimmy Vision License System Testing

Goal: Ensure Keygen/Stripe/Cloudflare Worker integration still works after v1.9.0 changes.

Cloudflare Worker Health Check

Test endpoint health: curl https://shimmy-license-webhook-test.michaelallenkuykendall.workers.dev/health
Verify response: Should return {"status": "ok", "timestamp": "..."}
Check live endpoint: curl https://shimmy-license-webhook.michaelallenkuykendall.workers.dev/health

Test Purchase Flow (Stripe → Keygen)

Create checkout session:

curl "https://shimmy-license-webhook-test.michaelallenkuykendall.workers.dev/buy?tier=developer&email=test-$(date +%s)@example.com"

Complete test payment: Use Stripe test card 4242 4242 4242 4242
Verify webhook delivery: Check Stripe Dashboard → Webhooks → Events
Confirm license creation: Check Keygen Dashboard → Licenses → Recent
Retrieve license key: From email or success page
Save test license key: For validation testing below

License Validation in Shimmy

Set test license: export SHIMMY_LICENSE_KEY=<test-key-from-above>
Start shimmy with vision: ./shimmy-windows-x86_64.exe serve --bind 127.0.0.1:11435

Test vision API with valid license:

curl -X POST http://127.0.0.1:11435/api/vision \
  -H "Authorization: Bearer $SHIMMY_LICENSE_KEY" \
  -d '{"prompt":"test","image_url":"https://example.com/test.jpg"}'

Expected: Success (200 OK)

Test with invalid license:

export SHIMMY_LICENSE_KEY="INVALID-KEY-12345"
curl -X POST http://127.0.0.1:11435/api/vision \
  -H "Authorization: Bearer $SHIMMY_LICENSE_KEY" \
  -d '{"prompt":"test","image_url":"https://example.com/test.jpg"}'

Expected: 403 Forbidden with clear error message

Test with no license:

unset SHIMMY_LICENSE_KEY
curl -X POST http://127.0.0.1:11435/api/vision \
  -d '{"prompt":"test","image_url":"https://example.com/test.jpg"}'

Expected: 401 Unauthorized

Portal Access Testing

Create portal session:

curl -X POST https://shimmy-license-webhook-test.michaelallenkuykendall.workers.dev/portal \
  -d "email=<test-email-from-purchase>"

Verify portal URL returned: Should redirect to Stripe customer portal
Access portal: Open URL in browser, verify license info displayed

Test license retrieval endpoint:

curl -X POST https://shimmy-license-webhook-test.michaelallenkuykendall.workers.dev/license \
  -d "email=<test-email-from-purchase>"

Expected: Returns license key

Frontend Integration Check

Load shimmy-vision site: https://michael-a-kuykendall.github.io/shimmy-vision
Check API endpoints: View page source, verify worker URLs match test/live
Test checkout button: Click "Buy Developer", verify Stripe checkout loads
Complete test purchase: Use different test email
Verify success page: Shows license key and download instructions
Check email: Test purchase confirmation received

Keygen API Direct Testing

List recent licenses:

curl -H "Authorization: Bearer $KEYGEN_ADMIN_TOKEN" \
  -H "Accept: application/vnd.api+json" \
  "https://api.keygen.sh/v1/accounts/$KEYGEN_ACCOUNT_ID/licenses?limit=10&sort=-created"

Validate test license:

curl -X POST https://api.keygen.sh/v1/accounts/$KEYGEN_ACCOUNT_ID/licenses/actions/validate-key \
  -H "Content-Type: application/json" \
  -d '{"meta": {"key": "<test-license-key>"}}'

Expected: Ed25519 signature verification passes

Check usage limits: Verify monthly pages_processed tracking
Check entitlements: Verify VISION_ANALYSIS, API_ACCESS, CLI_ACCESS

Sales Pipeline Health Checklist

Cloudflare Worker secrets set (test environment): KEYGEN_ACCOUNT_ID, KEYGEN_PRODUCT_TOKEN, STRIPE_SECRET_KEY, STRIPE_WEBHOOK_SECRET, all STRIPE_PRICE_* variables
Stripe webhook configured: Events delivering to worker endpoint
Stripe products active: All 5 tiers (Developer, Professional, Startup, Enterprise, Lifetime)
Keygen policies active: Correct usage limits per tier
Frontend deployed: GitHub Pages site live and functional
End-to-end flow works: Purchase → License generation → Validation → Vision access
Document any issues: Record failures, workarounds, or manual fixes needed

License/Vision Integration Testing

Vision API requires license: Confirm cannot use without valid key
License usage tracking: Verify pages_processed increments per API call
Monthly limit enforcement: Test limit exceeded (402 Payment Required)
License expiration: Test expired license (403 Forbidden)
License suspension: Test suspended license (403 Forbidden)
Offline grace period: Test 24-hour cached license validation
Performance impact: Verify license check doesn't add >100ms latency

Critical Sales Path Scenarios

Scenario 1 - Happy Path: User buys → receives license → uses vision API successfully
Scenario 2 - Payment Failure: Card declined → no license generated → clear error
Scenario 3 - Webhook Delay: Payment succeeds → webhook delayed → license eventually created
Scenario 4 - Invalid Email: Fake email → purchase succeeds → license created (edge case)
Scenario 5 - Refund: License revoked → vision API stops working → proper error

Documentation & Support Verification

Licensing docs exist: README or docs/ explain how to get/use license
Troubleshooting guide: Common license issues documented
Support contact: Email or GitHub Discussions for license issues
Privacy policy: Keygen data handling disclosed
Terms of service: License usage terms clear

🎺 Phase 3: User Outreach Strategy

Master Announcement Issue

Create GitHub issue: "🎉 Shimmy v1.9.0: One Binary, All GPUs - Auto-Detection Release"
Include celebratory banner/image
Explain Kitchen Sink architecture
Show before/after comparison
Tag ALL affected users (see list below)

Personalized User Messages

Issue #129: @[username] - GPU support not available in precompiled

Message Template:

@[username] - Your issue about missing GPU support in pre-built binaries is **SOLVED**! 🎉

**What you reported**: Downloaded `shimmy-windows-x86_64.exe` but got CPU-only, had to compile from source.

**What v1.9.0 fixes**: `shimmy-windows-x86_64.exe` now includes CUDA, Vulkan, and OpenCL. Download once, auto-detects your GPU.

**Try it**: 
- Download: [shimmy-windows-x86_64.exe](link)
- Run: `shimmy serve --gpu-backend auto`
- Your GPU will be detected automatically!

Thank you for reporting this - it helped shape this release! 🙏

Find username for #129
Customize message with actual download link
Post in #129 thread

Issue #130: @[username] - GPU not enabled with --backend vulkan

Message Template:

@[username] - Your Vulkan backend issue is **SOLVED**! 🎉

**What you reported**: Built with `--features llama-vulkan`, used `--gpu-backend vulkan`, but still got CPU-only.

**What v1.9.0 fixes**: Binary now includes CUDA+Vulkan+OpenCL. Auto-detection ensures the right backend is used. No more feature flag confusion.

**Root cause**: You had the right *runtime* flag but wrong *compile-time* features. v1.9.0 eliminates this confusion entirely.

**Try it**: Download the new binary and it just works. No feature flags needed!

Thank you for the detailed bug report! 🙏

Find username for #130
Post in #130 thread

Issue #142: @[username] - AMD GPU not detected (Vulkan/OpenCL)

Message Template:

@[username] - Your AMD Radeon RX 6700 XT detection issue is **SOLVED**! 🎉

**What you reported**: GPU detected by system (`clinfo` worked), but shimmy assigned all layers to CPU.

**What v1.9.0 fixes**: Binary includes both Vulkan AND OpenCL. Auto-detection tries both and picks what works on your AMD card.

**Priority order**: CUDA → Vulkan → OpenCL → CPU

Your Radeon will now use Vulkan (or OpenCL fallback) automatically!

Thank you for the detailed system info - super helpful! 🙏

Find username for #142
Post in #142 thread

Issue #144: @[username] - MLX should be default on Apple Silicon

Message Template:

@[username] - Your Apple Silicon MLX request is **IMPLEMENTED**! 🎉

**What you requested**: `cargo install shimmy` should enable MLX by default on Apple Silicon.

**What v1.9.0 delivers**: Download `shimmy-macos-arm64` and MLX is already included. No compilation needed!

**Even better**: Homebrew can now distribute this pre-built binary with MLX support.

**For Homebrew users**: Formula will be updated to use the MLX-enabled binary!

Thank you for pushing for better Mac support! 🙏

Find username for #144
Post in #144 thread

Issue #110: @[username] - Build failure on cargo install v1.7.0

Message Template:

@[username] - Your macOS ARM64 build failure is **SOLVED**! 🎉

**What you reported**: `cargo install shimmy` failed with missing template files.

**What v1.9.0 fixes**: Download `shimmy-macos-arm64` - no compilation needed! Pre-built binary works immediately.

**Bonus**: Includes MLX support for your Apple Silicon GPU!

No more fighting with Rust toolchains - just download and run! 🚀

Thank you for the detailed error logs! 🙏

Find username for #110
Post in #110 thread

Issue #105: @[username] - Windows GPU build errors

Message Template:

@[username] - Your Windows GPU compilation nightmare is **OVER**! 🎉

**What you reported**: Visual Studio 2022, trying `--features llama-opencl`, failed with template errors.

**What v1.9.0 fixes**: Download `shimmy-windows-x86_64.exe` with CUDA+Vulkan+OpenCL already compiled. Zero compilation needed!

**Your GPU will work**: Auto-detects whether you have NVIDIA (CUDA) or AMD/Intel (Vulkan/OpenCL).

No more fighting with C++ toolchains! 🚀

Thank you for persisting through those build errors! 🙏

Find username for #105
Post in #105 thread

Issue #99: @[username] - cargo install shimmy fail (Windows 10)

Message Template:

@[username] - Your Windows installation failure is **SOLVED**! 🎉

**What you reported**: `cargo install shimmy` failed (couldn't proceed).

**What v1.9.0 fixes**: Download pre-built `shimmy-windows-x86_64.exe` - no compilation needed!

**Bonus**: Includes GPU support (CUDA+Vulkan+OpenCL) out of the box!

No more Cargo nightmares - just download and run! 🚀

Thank you for reporting this! 🙏

Find username for #99
Post in #99 thread

Issue #86: @[username] - Missing template files in v1.6.0

Message Template:

@[username] - The template file packaging issue is **FIXED**! 🎉

**What you reported**: Both crates.io AND git installation failed with missing template files.

**What v1.9.0 fixes**: Pre-built binaries completely bypass this issue. No compilation = no missing files!

**Added bonus**: We fixed the packaging too, so crates.io installation works now.

But honestly? Just download the binary - it's faster! 🚀

Thank you for catching this packaging bug! 🙏

Find username for #86
Post in #86 thread

Issue #88: @[username] - Unable to compile on macOS 26 M2

Message Template:

@[username] - Your M2 Mac compilation failure is **SOLVED**! 🎉

**What you reported**: `cargo install shimmy --features mlx` failed on macOS.

**What v1.9.0 fixes**: Download `shimmy-macos-arm64` - MLX already included! No compilation needed!

**M2 GPU support**: Your Metal Performance Shaders will be used automatically!

No more dependency resolution nightmares! 🚀

Thank you for reporting this! 🙏

Find username for #88
Post in #88 thread

Additional Affected Issues

Check #112, #98, #114, #126, #127, #100, #131 for similar personalization
Create message templates for each
Post in each issue thread

Batch Announcement Post

Create master announcement tagging all users
Show comparison table: v1.8.x (9 binaries) vs v1.9.0 (5 binaries)
Include download links for all platforms
Explain auto-detection with examples
Add GIF/video showing GPU auto-detection in action (if possible)

🚀 Phase 4: Public Release

Pre-Release Checks

Release Execution

Merge to main: git push origin main
Create production tag: git tag v1.9.0
Push tag: git push origin v1.9.0
Wait for CI/CD build (~30-45 min)
Verify binaries uploaded correctly
Test download links

Release Notes Polish

Add "What's New" highlights
Include binary size comparison
Add migration guide for v1.8.x users
Link to personalized user messages
Add screenshots/GIFs

Announcement Distribution

Post master announcement on GitHub
Update README.md on main repo
Update all wiki pages
Tag all affected users in announcement

📣 Phase 5: Marketing & Outreach

Social Media

Reddit r/rust announcement
Reddit r/LocalLLaMA announcement
Twitter/X thread about Kitchen Sink architecture
Discord servers (Rust, AI, LLM communities)
Hacker News (if appropriate)

Community Engagement

Respond to all user comments on announcement
Monitor issues for new questions
Update FAQ based on user feedback
Create demo video showing auto-detection

Package Managers

Update crates.io listing (if publishing)
Contact Homebrew maintainers about new binaries
Update any third-party package manager entries

🔍 Phase 6: Post-Release Monitoring

First 24 Hours

Monitor GitHub issues for new reports
Check download counts
Watch for compilation errors (shouldn't be any!)
Track user feedback on announcement

First Week

Analyze which binaries are most popular
Check if users request specialized builds
Monitor binary size feedback
Update documentation based on questions

Metrics to Track

Download count per platform
Issue closure rate (should drop dramatically)
Positive user feedback count
New feature requests (vs build issues)

📊 Success Metrics

Primary Goals

Zero "can't compile" issues in first week
Zero "GPU not detected" issues in first week
90%+ positive user feedback
At least 10 users report "it just works"

Secondary Goals

All 22+ affected users acknowledge fix
Download count > v1.8.2 in first week
Community shares announcement organically
Reduced support burden (fewer tickets)

🎉 User Outreach Master List

Master Tag List

Create comprehensive tag in announcement:

This release specifically addresses issues reported by:
@user1 @user2 @user3 @user4 @user5 @user6 @user7 @user8 @user9 
@user10 @user11 @user12 @user13 @user14 @user15 @user16 @user17 @user18 @user19

Each of you contributed to making shimmy better. Thank you! 🙏

🛡️ Rollback Plan (Just in Case)

If critical issues discovered after public release:

Immediate Actions

Mark v1.9.0 as pre-release: gh release edit v1.9.0 --prerelease
Post announcement warning users
Document the issue clearly

Fix & Re-release

Create hotfix branch
Test fix in private repo (v1.9.1-test)
Release v1.9.1 with fix
Update announcement with fix details

Communication

Apologize to affected users
Explain what went wrong
Show what was fixed
Maintain transparency

📝 Notes & Reminders

Key Messaging Points

"One binary per platform, auto-detects all GPUs"
"Solves 22+ user-reported build issues"
"Zero compilation needed - download and run"
"Ollama performance, 12x smaller"
"We listened to every issue you reported"

Tone

Celebratory but humble
Thank users profusely
Show you care about their pain
Highlight their contributions
Make them feel heard

Personal Touch

Each user gets:

Personal @ mention
Quote of their specific issue
Explanation of the fix
Invitation to try it
Genuine thanks

This shows you're not just fixing bugs - you're listening to your community.

REMEMBER: This is a HUGE win. 22+ issues solved, architecture simplified, user experience dramatically improved. Make noise about it! 📣

Uh oh!

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🚀 Shimmy v1.9.0 Release Checklist - Kitchen Sink Architecture

📋 Phase 1: Private Testing & Validation

Build & Test in Private Repo

Binary Testing Checklist

Linux x86_64 (Kitchen Sink: CUDA+Vulkan+OpenCL)

Windows x64 (Kitchen Sink: CUDA+Vulkan+OpenCL)

GPU Backend Override Robustness Testing (CRITICAL - Prevents User Breakage)

macOS ARM64 (MLX GPU)

macOS Intel (CPU only)

Linux ARM64 (CPU only)

Shimmy Vision Testing (CRITICAL)

Vision Feature Verification

Vision API Testing - Windows x64

Vision API Testing - Linux x64

Vision API Testing - macOS ARM64

Vision Configuration Testing

Vision Performance Benchmarks (CRITICAL - Sets User Expectations)

Vision Integration Testing

Vision Documentation Verification

Vision Licensing Testing (if applicable)

Test Results Documentation

Cleanup Private Test

🧹 Phase 1.5: Repository Cleanup

Root Directory Markdown Cleanup

Files to Review

Documentation Structure

.gitignore Updates

📚 Phase 2: Documentation Overhaul

README.md Updates

Wiki Pages to Update

New Documentation to Create

Code Documentation

💳 Phase 2.5: License & Sales Pipeline Verification (CRITICAL - Revenue Protection)

Shimmy Vision License System Testing

Cloudflare Worker Health Check

Test Purchase Flow (Stripe → Keygen)

License Validation in Shimmy

Portal Access Testing

Frontend Integration Check

Keygen API Direct Testing

Sales Pipeline Health Checklist

License/Vision Integration Testing

Critical Sales Path Scenarios

Documentation & Support Verification

🎺 Phase 3: User Outreach Strategy

Master Announcement Issue

Personalized User Messages

Issue #129: @[username] - GPU support not available in precompiled

Issue #130: @[username] - GPU not enabled with --backend vulkan

Issue #142: @[username] - AMD GPU not detected (Vulkan/OpenCL)

Issue #144: @[username] - MLX should be default on Apple Silicon

Issue #110: @[username] - Build failure on cargo install v1.7.0

Issue #105: @[username] - Windows GPU build errors

Issue #99: @[username] - cargo install shimmy fail (Windows 10)

Issue #86: @[username] - Missing template files in v1.6.0

Issue #88: @[username] - Unable to compile on macOS 26 M2

Additional Affected Issues

Batch Announcement Post

🚀 Phase 4: Public Release

Pre-Release Checks

Release Execution

Release Notes Polish

Announcement Distribution

📣 Phase 5: Marketing & Outreach

Social Media

Community Engagement

Package Managers

🔍 Phase 6: Post-Release Monitoring

First 24 Hours

First Week

Metrics to Track

📊 Success Metrics

Primary Goals