Production AI Systems.
Deconstructed.
Deep-dive codebase breakdowns, opinionated production architecture guides, and interactive visual labs across 554 concepts and 38 domains.
Platform Timeline
Product and curriculum updates
Follow shipped learning features, curriculum milestones, labs, projects, architecture guides, system inspectors, and platform quality improvements.
Architecture Teardowns & Playgrounds
Production-ready engineering knowledge & visual interactive labs.
25 Production System Breakdowns
Deep-dive teardowns of OpenAI Codex, vLLM, DeepSeek-V3, and PagedAttention.
Canonical Production Guides
Trace system boundaries, alternatives, failure modes, and operational constraints.
Interactive decision labs
Change assumptions and inspect token, retrieval, evaluation, and cost trade-offs.
Interconnected Concept Graph
Explore 560 mapped concepts with tags, typed relationships, failure modes, and notes.
Interactive Simulation Engines
6 Flagship Visual Decision Simulators
Pure isomorphic engines modeling hardware kernels, VRAM fragmentation, distributed routing, and RL alignment in deterministic real time.
WebAssembly AI Runtime & Micrograd Sandbox
Write and execute Python in WebAssembly (Pyodide) with live SVG autograd DAG visualization, FlashAttention online softmax, and KV cache page indexing.
FlashAttention-3 SRAM Tiling & Online Softmax
Visualize HBM vs. on-chip SRAM tiling and step through row-level online softmax rescaling without materializing O(N²) attention.
MoE Dynamic Routing & Expert Parallelism
Simulate Top-2 gating softmax, capacity factor C, dynamic bias adaptation, and live node failure chaos across 16–64 experts.
PagedAttention Virtual Memory Simulator
Explore non-contiguous physical GPU VRAM block tables, prefix cache sharing, and fragmentation elimination.
Speculative Decoding & Rejection Sampling
Model γ-token speculation, rejection sampling α_i = min(1, p/q), residual distribution correction p'(x), and HBM bandwidth savings.
GRPO vs. PPO Reasoning Alignment
Explore critic-free group-relative advantage normalization, Schulman k3 non-negative KL penalties, zero-variance guards, and 50% VRAM reductions.
Knowledge Base Structure
Interconnected concept graph and engineering reference atlas.
Topological Curriculum Knowledge Graph
Deconstruct 560 concepts and 636 pedagogical relationships into dynamic community clusters. Trace prerequisite dependency DAGs, detect knowledge gaps, and follow 8 guided specialization tours with zero circular prerequisites.
The stack end to end
Not another prompt tutorial.
FullStack AI Hub covers what actually runs in production: retrieval pipelines, evaluation harnesses, agentic systems, streaming interfaces, infrastructure tradeoffs, and the operational decisions teams make once prototypes graduate.
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