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.
AI Engineering Ecosystem Toolkit
Production workflows, commercial blueprint specs, knowledge check quizzes, and AI mock interviews
Track Modules
Select a specialized module to study in-depth engineering lessons with architectural blueprints, code, and tests
Commercial AI Blueprints (Production Architecture)
Step-by-step interactive specifications with architecture, checklists, code, and acceptance criteria
Production MCP Server for CRM/ERP
stdio/SSE transport, Zod validation, role-based access control (RBAC), and agent audit logging.
Self-Healing CI/CD in GitHub Actions
Autonomous test failure intercept, file localization, patch generation, and Pull Request opening.
High-Availability On-Premise Ollama + LiteLLM Cluster
Load balancing, SSO authentication, SSL termination, and Redis semantic caching.
Generative UI Dashboard on Next.js 16 App Router
Streaming React Server Components (RSC), dynamic charts, and typed Server Actions.
Semantic Vector Product Search with pgvector
Hybrid search (Dense + Sparse BM25), webhook synchronization, and ranking for WooCommerce 50k+ SKU.
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.