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Technical guides, AI agent architecture, vector search benchmarks, and fullstack engineering articles.
AI8 min read
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.
AI8 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.
AI8 min read
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.
Development9 min read
Next.js 16 App Router & Turbopack Deep Dive
A comprehensive technical guide to Next.js 16's most impactful features — Server Actions for data mutation, Partial Prerendering (PPR) for dynamic/static hybrid pages, fine-grained cache invalidation, and Turbopack's architecture advantages for large-scale development teams.
AI9 min read
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.