Infrastructure patterns, MLOps workflows, and software design principles for modern developers.
Hands-on tools to accelerate your learning and build your skills
Hand-picked reads for engineers
Master the art of running multiple Claude Code instances in parallel using git worktrees, tmux, and automation. An interactive guide to AI-powered parallel development.
On feedback loops, the economics of quality, and building gates that developers actually appreciate—a reflection after three decades of getting it wrong first.
Interactive guide to machine learning model serving in 2025. Covers serving paradigms, confidential computing, GPU optimization, vLLM, quantization, RAG pipelines, and MLOps best practices.
A comprehensive interactive guide to building private machine learning infrastructure with curated model registries, supply chain security, and compliance-ready architecture.
Deep dives into modern development