AI Agents vs Pipelines Explained
Understand the difference between AI agents and AI pipelines, when to choose each, and how to design systems that combine both for reliability and flexibility.
13 posts · page 1 of 1
Understand the difference between AI agents and AI pipelines, when to choose each, and how to design systems that combine both for reliability and flexibility.
CQRS and event sourcing are often mentioned together but solve different problems. This post separates them, shows how they combine, and when each is worth the complexity.
Compare monoliths and microservices across team size, deploy cadence, complexity, and operational overhead to choose the right architecture.
What event-driven architecture really gives you, when to choose it, and the operational realities of running asynchronous systems at scale.
Understand Apollo Federation: subgraphs, the gateway, entity references, and when to choose federation over a monolithic GraphQL schema.
Compare resolver patterns in GraphQL: thin resolvers, service layers, DataLoader batching, and error handling that scales.
An honest comparison of GraphQL and REST: where each one shines, where each one hurts, and how to choose without religion.
RAG and grounding are often used interchangeably but they describe different techniques. Here is how to tell them apart and when each one matters.
A senior-engineer comparison of Kafka and RabbitMQ: log vs queue semantics, throughput, ordering, retention, and the real selection criteria.
EventEmitter is the backbone of Node. Here are the patterns that make it useful in real systems and the mistakes that turn it into a footgun.
A practical comparison of RAG and fine-tuning, with guidance on when to choose each, and when to combine them in production systems.
A practical guide to deciding where state belongs in a React app, with patterns for lifting, colocating, and splitting state for performance and clarity.
A repeatable 7-step framework for system design interviews. Clarify, estimate, API, data model, high-level, deep dive, bottlenecks — with concrete examples for each step.