AI PLAYLIST

AI Engineering From Zero

A complete step-by-step masterclass from prompt engineering fundamentals to building autonomous AI agents.

Start Series (01) →4 Posts Total • 3 Topics

CURRICULUM TOPICS & POSTS (4 ARTICLES)

Topic 1: Prompting & Reason Loops

1 Post

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

A practitioner's guide to prompt design patterns that actually work in production — covering chain-of-thought decomposition, the ReAct pattern, few-shot formatting, and techniques for enforcing strict JSON schema adherence from any LLM.

9 min read→

Topic 2: Vector Search & Retrieval (RAG)

2 Posts

Understanding Retrieval-Augmented Generation (RAG)

A practical deep dive into building production-grade RAG pipelines — covering document chunking strategies, embedding models, hybrid BM25 + dense retrieval, context window management, and the evaluation metrics that actually matter.

8 min read→

High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector

A rigorous benchmark comparison of HNSW vs IVFFlat indexing across Pinecone, Qdrant, and Pgvector — covering query latency at scale, memory overhead, metadata filtering performance, and an honest architectural recommendation for each use case.

8 min read→

Topic 3: Autonomous AI Agents

1 Post

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

A deep, production-grade guide to building autonomous goal-driven AI agents — covering tool calling, persistent memory, execution loops, and failure recovery — using TypeScript and Next.js 16 App Router.

8 min read→