@anishratnawat

Anish Ratnawat

@anishratnawat

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Where High-Level Design Meets Real-World Solutions

Joined August 2023

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Anish Ratnawat's blogs

Anish Ratnawat's Tech Bloganishratnawat.com22 posts

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ARAnish Ratnawatanishratnawat.comJun 20 · 6 min read

Loop Engineering: Building Self-Improving Software Systems

Overview For decades, software engineering has largely followed a linear model: Design → Build → Test → Deploy → Monitor Once deployed, engineers collect telemetry, identify issues, and manually impro

ARAnish Ratnawatanishratnawat.comApr 7 · 6 min read

Model Context Protocol (MCP) -- Overview & Performance Benchmarks

What is MCP? The Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal interface for connecting AI models to external data sources, tools, and services. Think

ARAnish Ratnawatanishratnawat.comMar 28 · 16 min read

Agent Harness: The Infrastructure Layer That Makes AI Actually Work

Table of Contents The AI Reliability Problem What Is an Agent Harness? Harness vs. Orchestrator — What's the Difference? The 5 Core Components of a Good Harness Advanced Pattern: Persistent Memor

ARAnish Ratnawatanishratnawat.comMar 7, 2025 · 7 min read

Consistent Hashing: Explained with Implementation Steps

In distributed systems, managing data placement and load balancing efficiently is crucial. One powerful tool for addressing these challenges is consistent hashing. This blog will explore consistent hashing, provide an example, and discuss why it is s...

ARAnish Ratnawatanishratnawat.comFeb 3, 2025 · 6 min read

Exploring Retrieval Augmented Generation (RAG) with Vector Databases and AI Agents

One of the recent breakthroughs is Retrieval Augmented Generation (RAG). This concept blends the power of generative models with external retrieval systems to enhance the quality and accuracy of responses. When coupled with vector databases and AI ag...

Anish Ratnawat

About

Available for

Anish Ratnawat's blogs

Recently published

Loop Engineering: Building Self-Improving Software Systems

Model Context Protocol (MCP) -- Overview & Performance Benchmarks

Agent Harness: The Infrastructure Layer That Makes AI Actually Work

Consistent Hashing: Explained with Implementation Steps

Exploring Retrieval Augmented Generation (RAG) with Vector Databases and AI Agents

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Anish Ratnawat

About

Available for

Anish Ratnawat's blogs

Recently published

Loop Engineering: Building Self-Improving Software Systems

Model Context Protocol (MCP) -- Overview & Performance Benchmarks

Agent Harness: The Infrastructure Layer That Makes AI Actually Work

Consistent Hashing: Explained with Implementation Steps

Exploring Retrieval Augmented Generation (RAG) with Vector Databases and AI Agents