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

A comprehensive production guide to building goal-driven AI agents with tool calling, persistent memory, and resilient execution loops.

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Asutosh Sidhya

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

AI  •  4 min read

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

A comprehensive production guide to building goal-driven AI agents with tool calling, persistent memory, and resilient execution loops.

Asutosh Sidhya

Written by

Asutosh Sidhya

High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector

AI  •  4 min read

High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector

Benchmark comparison of HNSW vs IVF indexing, latency metrics, and memory footprints for production vector search.

Asutosh Sidhya

Asutosh Sidhya

Understanding Retrieval-Augmented Generation (RAG)

AI  •  4 min read

Understanding Retrieval-Augmented Generation (RAG)

A deep dive into chunking strategies, vector embeddings, and hybrid BM25 + dense retrieval for LLM applications.

Asutosh Sidhya

Asutosh Sidhya

Next.js 16 App Router & Turbopack Deep Dive

Development  •  4 min read

Next.js 16 App Router & Turbopack Deep Dive

Master server actions, streaming SSR, and Turbopack bundler optimizations in Next.js 16.

Asutosh Sidhya

Asutosh Sidhya

Latest Blog

Showing 1-5 of 5 Posts
How I Built an Autonomous AI Agent with Next.js 16
AI4 min read

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

A comprehensive production guide to building goal-driven AI agents with tool calling, persistent memory, and resilient execution loops.

Asutosh Sidhya
By Asutosh Sidhya
High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector
AI4 min read

High-Performance Vector Databases: Pinecone vs Qdrant vs Pgvector

Benchmark comparison of HNSW vs IVF indexing, latency metrics, and memory footprints for production vector search.

Asutosh Sidhya
By Asutosh Sidhya
Understanding Retrieval-Augmented Generation (RAG)
AI4 min read

Understanding Retrieval-Augmented Generation (RAG)

A deep dive into chunking strategies, vector embeddings, and hybrid BM25 + dense retrieval for LLM applications.

Asutosh Sidhya
By Asutosh Sidhya
Next.js 16 App Router & Turbopack Deep Dive
Development4 min read

Next.js 16 App Router & Turbopack Deep Dive

Master server actions, streaming SSR, and Turbopack bundler optimizations in Next.js 16.

Asutosh Sidhya
By Asutosh Sidhya
Advanced Prompt Engineering: Chain-of-Thought, ReAct, and Structured Output
AI4 min read

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

Learn proven prompt design patterns to force deterministic JSON output and complex reasoning from LLMs.

Asutosh Sidhya
By Asutosh Sidhya

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Asutosh Sidhya

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