API vs MCP: Interoperability Trade-offs for AI SystemsThe Core Question When building agentic AI systems, one of the earliest architectural decisions you'll face is: How do my agents and LLMs talk to the outside world — through REST APIs, or through MCP1CAug 4 · 14 min readjyanshu.hashnode.dev
Model Context Protocol (MCP)The open standard that gives AI agents a universal plug for the world's tools. What Problem Does MCP Solve? Before MCP, building an AI agent that could use external tools looked like this: Every neAug 3 · 11 min readjyanshu.hashnode.dev
Vector EmbeddingsHow AI Learned to Understand the Meaning Behind Words Who is this for? You don't need to know any math, code, or machine learning. If you've ever used Google Search, gotten a Netflix recommendation,Jul 13 · 13 min readjyanshu.hashnode.dev
Eventual Consistency PitfallsIntroduction In the age of distributed systems, eventual consistency is a trade-off that powers some of the most scalable architectures on the planet — from Amazon DynamoDB to Apache Cassandra to globJul 13 · 17 min readjyanshu.hashnode.dev
Mediator PatternThe Mediator Pattern is a behavioral design pattern that centralizes communication between objects. Instead of objects talking to each other directly (which creates a tangled web of dependencies), theJun 22 · 7 min readjyanshu.hashnode.dev
