Concrete project showcasing MCP server implementation with vision model integration, tested across multiple tools. Provides actionable code (`pip install mcptube`) and architectural details.
Python dataflow pipeline framework with clear implementation details, GitHub repo, PyPI package, and documentation. Buildable tool for workflow composition.
Detailed tool (codeburn) for analyzing Claude Code token usage with specific implementation details, GitHub repo, npm package, and actual findings from real usage data. Highly actionable technical content.
Detailed hardware build specification with exact parts list, memory footprint, and professional-grade setup. High confidence technical showcase with buildable information for others.
Complete technical project: trained 125M LLM from scratch with released weights, instruct checkpoint, and open-source SFT framework. Includes training metrics, links to HuggingFace, and GitHub repo. Highly buildable.
Complete open-source implementation with detailed benchmarks, methodology, performance metrics, learned lessons, and roadmap. Includes GitHub repo, comparative data across quantization levels, and technical insights on Apple Silicon optimization.
Detailed dual-GPU benchmark with specific hardware specs, software setup, and comprehensive performance metrics across multiple models. Includes VRAM utilization analysis, methodology explanation, and comparative analysis (single vs dual GPU).