Engineering Standard 2026

AI Engineering & Agentic Workflows

Full 2026 industrial stack: Spec-Driven Development (SDD), AI-Assisted TDD (Red-Green-Refactor), Context Engineering, MCP tools protocol, Generative UI in React / Next.js 16, private local LLMs, secure WordPress, and autonomous multi-agent CI/CD.

Deterministic code without hallucinations16 modules • 78 practical lessons
AI Track Progress
0%(0/78 lessons)
+0 / 2570 XP16 modules

Track Modules

Select a specialized module to study in-depth engineering lessons with architectural blueprints, code, and tests

5 lessons

AI Engineering Quickstart (Zero)

Fundamental LLM concepts: tokens, context windows, system prompts, first API call with Vercel AI SDK, and structured JSON output

0/5lessons
~120 min+150 XP
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6 lessons

Spec-Driven & TDD with AI

System constitutions, SDD specifications, Red-Green-Refactor with agents, quality gates

0/6lessons
~145 min+190 XP
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6 lessons

Context Engineering & MCP

Model Context Protocol (MCP Streamable HTTP / OAuth 2.1), context budgeting, token compression, sandboxes

0/6lessons
~175 min+230 XP
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7 lessons

AI in React & Next.js 16

Vercel AI SDK, Generative UI streaming, Server Actions integration, type-safe generation with Zod

0/7lessons
~195 min+250 XP
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10 lessons

AI in WordPress Engineering

Headless AI integration, automated block generation, legacy PHP migration, synthetic test data

0/10lessons
~365 min+415 XP
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6 lessons

Multi-Agent & Autonomous CI/CD

Multi-agent orchestration, autonomous PR reviewers, self-healing CI/CD pipelines

0/6lessons
~135 min+180 XP
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4 lessons

Private AI & Local LLMs

Ollama, vLLM, DeepSeek deployment, enterprise LoRA fine-tuning, private completions gateway

0/4lessons
~95 min+120 XP
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4 lessons

Agentic Web, GEO & Multimodal

Computer Use agents, Generative Engine Optimization, llms.txt architecture, vision and voice

0/4lessons
~115 min+135 XP
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4 lessons

AI Security & Red Teaming

Prompt injection defense, jailbreak prevention, sandboxing, supply-chain AI package audits

0/4lessons
~95 min+120 XP
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4 lessons

Production RAG & GraphRAG

Vector databases, hybrid search (RRF), cross-encoder reranking, Neo4j knowledge graphs

0/4lessons
~100 min+120 XP
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4 lessons

Legacy Modernization & Refactoring

Strangler Fig pattern, PHP to TS migration, Golden Master test retrofitting, reverse engineering

0/4lessons
~100 min+120 XP
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4 lessons

AI Observability, FinOps & High-Load

OpenTelemetry LLM tracing, semantic caching, token cost budgets, failover fallbacks

0/4lessons
~100 min+120 XP
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4 lessons

Reasoning Models & Test-Time Compute

Chain of thought, test-time scaling, tree of thoughts, self-consistency sampling

0/4lessons
~100 min+120 XP
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4 lessons

Synthetic Data & Distillation

Curating training datasets, task-specific distillation into 7B/14B models, automated eval generation

0/4lessons
~100 min+120 XP
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3 lessons

Visual AI Engineering & UI Audits

Vision models for design tokens, automated visual regression, WCAG accessibility scans

0/3lessons
~75 min+90 XP
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3 lessons

Real-time Voice & Multimodal Agents

WebRTC audio streaming, Voice Activity Detection (VAD), interruption handling

0/3lessons
~75 min+90 XP
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Why Spec-Driven Development & TDD are critical in 2026?

Modern LLMs generate thousands of lines of code in seconds. However, without formalized specifications (PRD, ADR) and strict failing test suites (Red-Green-Refactor), development quickly degrades into regressions and technical debt. This track teaches predictable engineering pipelines where AI functions as a precise requirements compiler.