Stack 2.9 Official Launch Plan
This document outlines the steps to officially release Stack 2.9.
Phase 1: Testing & Validation (Immediate)
1.1 Unit Tests
# Run existing tests
cd /Users/walidsobhi/.openclaw/workspace/stack-2.9
python -m pytest samples/ -v
# Expected: All tests pass
1.2 Integration Tests
# Test CLI functionality
python -m pytest samples/integration/ -v
# Test tools
python -m pytest samples/unit/test_tools.py -v
1.3 Model Benchmark
# Download benchmark datasets
python scripts/download_benchmark_datasets.py --data-dir ./data
# Run HumanEval (164 problems)
python stack/eval/run_proper_evaluation.py \
--benchmark humaneval \
--provider ollama \
--model qwen2.5-coder:7b \
--k-samples 10 \
--output-dir ./results
# Run MBPP (500 problems)
python stack/eval/run_proper_evaluation.py \
--benchmark mbpp \
--provider ollama \
--model qwen2.5-coder:7b \
--k-samples 10 \
--output-dir ./results
1.4 Quick Smoke Test
# Test basic functionality
python stack/eval/simple_test.py
Phase 2: Demo & Showcase (Day 1-2)
2.1 Create Working Demo
# Create a simple Gradio demo
cd stack/deploy
python app.py # Should start web interface
2.2 Record Demo Video
- Show voice input/output
- Show code generation
- Show tool usage
2.3 Create Screenshots
- CLI interface
- Web UI
- API responses
Phase 3: Documentation Finalization (Day 2-3)
3.1 Verify All Docs Present
README.md β
Main documentation
stack/deploy/FREE_DEPLOYMENT.md β
Free deployment guide
stack/deploy/README.md β
Deployment docs
DIRECTORY_STRUCTURE.md β
Project structure
3.2 Update Version
# Update version in files
- README.md
- pyproject.toml
- package.json
Phase 4: Deployment Setup (Day 3-4)
4.1 HuggingFace Space
- Create account at huggingface.co
- New Space β Docker β Python 3.11
- Push
stack/deploy/hfSpaces/* - Get public URL
4.2 Model Upload
# Upload fine-tuned model
python stack/training/upload_hf.py \
--model-path ./output/stack-2.9-7b \
--repo-id yourusername/stack-2.9-7b
4.3 Test Free Deployment
# Test on free tier
cd stack/deploy/hfSpaces
docker build -t stack-2.9 .
docker run -p 7860:7860 stack-2.9
Phase 5: Launch & Promote (Day 5-7)
5.1 Social Media
- Twitter/X thread
- LinkedIn post
- Hacker News submission
- Reddit r/LocalLLaMA
5.2 Platforms
- Submit to OpenRouter
- Submit to HuggingFace
- Add to awesome-llm list
5.3 Community
- Discord server invite
- GitHub discussions
Launch Checklist
| Task | Status | Notes |
|---|---|---|
| Unit tests pass | β¬ | Run pytest samples/ |
| Integration tests pass | β¬ | Run pytest samples/integration/ |
| Benchmarks run | β¬ | HumanEval + MBPP |
| Demo works | β¬ | Gradio UI test |
| Free deployment works | β¬ | HF Spaces test |
| Documentation complete | β¬ | All docs in place |
| Version updated | β¬ | Set to 1.0.0 |
| HF Space deployed | β¬ | Get public URL |
| Model uploaded | β¬ | To HuggingFace |
| Social media ready | β¬ | Posts prepared |
Quick Test Commands
# 1. Test imports
cd /Users/walidsobhi/.openclaw/workspace/stack-2.9
python -c "from stack.eval.model_client import create_model_client; print('OK')"
# 2. Test CLI
python -m stack.cli.cli --help
# 3. Test eval
python stack/eval/simple_test.py
# 4. Run benchmarks
python stack/eval/run_proper_evaluation.py --benchmark humaneval --provider ollama --model qwen2.5-coder:7b --k-samples 5
# 5. Start web UI
cd stack/deploy && python app.py
Expected Outcomes
After launch:
- β Working open-source AI coding assistant
- β Free deployment on HF Spaces
- β Fine-tunable on Together AI
- β 46 tool schemas trained
- β OpenAI-compatible API