Roadmap PLAYLIST

The 2026 AI Engineer Roadmap

The complete step-by-step learning path from software developer to production AI systems architect — spanning prompt contracts, hybrid RAG, autonomous agents, and production evals.

Start Series (Part 1) →16 Articles Total

Course Curriculum

Phase 1: Foundation Models & Typed Contracts2 Lessons

The 2026 AI Engineer Roadmap: From Software Developer to AI Systems Architect

7 min read→

Advanced Prompt Engineering: Chain-of-Thought, ReAct, and Structured Output

9 min read→

Phase 2: Hybrid Ingestion & Advanced RAG3 Lessons

Understanding Retrieval-Augmented Generation (RAG)

8 min read→

High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector

8 min read→

Next-Gen Agentic RAG: Hybrid Search, GraphRAG, and Self-Correction

6 min read→

Phase 3: Autonomous AI Agents & MCP Protocols7 Lessons

How I Built an Autonomous AI Agent with Next.js 16

8 min read→

Building Autonomous Production Agents with LangGraph and Anthropic MCP

6 min read→

Building a Multi-Agent AI Framework (Part 1/5): Core Event Loop & State Machine

10 min read→

Building a Multi-Agent AI Framework (Part 2/5): Hybrid Memory & Context Pruning

11 min read→

Building a Multi-Agent AI Framework (Part 3/5): Multi-Agent Teams & Orchestration

12 min read→

Building a Multi-Agent AI Framework (Part 4/5): Model Context Protocol (MCP) Integration

11 min read→

Building a Multi-Agent AI Framework (Part 5/5): Production Evals, Retries & Telemetry

13 min read→

Phase 4: Open-Weights Serving & Reasoning Models1 Lessons

DeepSeek-R1 & GRPO: The Open-Weights Reasoning Architecture

6 min read→

Phase 5: Production Evals & Autonomous Infrastructure3 Lessons

LLM Evals in Production: Automated Benchmarking with LangSmith & Braintrust

6 min read→

Autonomous AI DevOps Agents Part 1: Control Plane Architecture & Event Loops

4 min read→

Autonomous AI DevOps Agents Part 7: Production Guardrails & Telemetry Evals

4 min read→