FullStack AI Hub

FullStack AI Interactive Lab

Production AI Systems.
Deconstructed.

Deep-dive codebase breakdowns, opinionated production architecture guides, and interactive visual labs across 554 concepts and 38 domains.

Explore System Breakdowns (21 Systems)Open Knowledge Atlas

100x Codebase Line Anchors Interactive Packet Traces Open Knowledge Atlas

Platform Metric Inventory

Verified Release

100x Codebase Line AnchorsPaper Teardowns

554Mapped concepts

554Deep lessons

15Interactive labs

38Engineering domains

Platform Timeline

Product and curriculum updates

Follow shipped learning features, curriculum milestones, labs, projects, architecture guides, system inspectors, and platform quality improvements.

Changelog

Curriculum update • 21 JulMilestone 532 Release — 100% Complete Production Curriculum & vLLM PagedAttention Breakdown

Curriculum update • 21 JulMilestone 400 Release — 400 Complete Production Lessons & Assessment Packs (85% Platform Coverage)

Curriculum update • 21 JulMilestone 350+ Systems Release — 340 Complete Lessons, CUDA Optimization, C++23/Rust Systems & NVIDIA CUTLASS Breakdown

Curriculum update • 21 JulMilestone 350 Release — 320 Complete Lessons, Quantum Computing, Neuromorphic AI & Qiskit Breakdown

Curriculum update • 21 JulMilestone 300 Release — 300 Complete Lessons, Autonomous Agents, Edge AI & Apple MLX System Breakdown

Curriculum update • 21 JulDomain 11 Release — MLOps, LLMOps, Vector Databases & Triton Inference Server Breakdown

Curriculum update • 21 JulDomain 10 Release — Advanced Machine Learning, Deep Learning & PyTorch DDP System Breakdown

Curriculum update • 21 JulDomain 9 Release — Cybersecurity, Zero Trust Infrastructure & Apache Kafka System Breakdown

Curriculum update • 21 JulDomain 8 Release — Data Engineering, Real-Time Streaming & Analytical Processing (20 Lessons & Assessments)

Curriculum update • 21 JulDomain 7 Release — AI Engineering, RAG Systems & K8s Control Plane System Breakdown

Curriculum update • 21 JulDomain 5 & 6 Release — Distributed Systems & Cloud Infrastructure (30 Lessons & Assessments)

Curriculum update • 21 JulDomain 3 & 4 Release — Web Architecture & Linux OS Internals (30 Lessons & Assessments)

Curriculum update • 21 JulDomain 2 Release — Database Systems & PostgreSQL Deep Dive (15 Lessons & Assessments)

System evidence update • 21 JulLocal LLM Inference Engines (Ollama, llama.cpp & SGLang) 20-Diagram Interactive System Breakdown

Curriculum update • 21 JulDomain 1 Release — Core Language & Runtime Systems (15 Lessons & Assessments)

System evidence update • 21 JulAnthropic Claude Computer Use 20-Diagram Interactive System Breakdown

System evidence update • 21 JulDeepSeek V3 / R1 20-Diagram Interactive System Breakdown

Quality update • 21 JulTheme-safe visuals and editorial cover system

Platform release • 21 JulLearning evidence and applied practice

Project learning update • 21 JulProject-based production AI learning

Lab release • 21 JulFourteen deterministic engineering labs

System evidence update • 21 JulEvidence-audited Codex and vLLM inspectors

Platform release • 19 JulFullStack AI Hub moved to its Next.js learning platform

Architecture Teardowns & Playgrounds

Production-ready engineering knowledge & visual interactive labs.

Explore systems

System breakdowns

20+ Diagram System Inspectors

Deep-dive teardowns of OpenAI Codex, vLLM, Seatbelt sandboxing, and PagedAttention.

Architecture rules

Canonical Production Guides

Trace system boundaries, alternatives, failure modes, and operational constraints.

Visual playgrounds

Interactive decision labs

Change assumptions and inspect token, retrieval, evaluation, and cost trade-offs.

Engineering atlas

Interconnected Concept Graph

Explore 207 mapped concepts with tags, typed relationships, failure modes, and notes.

Knowledge Base Structure

Interconnected concept graph and engineering reference atlas.

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.

Start the LLM path

LLM interfaces

RAG pipelines

Evaluation

Agents

Streaming

Vector search

Infrastructure

Observability