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Building for Scale: Architecture Patterns That Actually Work
ArchitectureBackend

Building for Scale: Architecture Patterns That Actually Work

Most scaling advice is generic. Here are the patterns that have consistently worked across real systems handling millions of requests — and the ones that sound good but fail in practice.

Durval Pereira5 min read

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The AI Engineering Mindset: What Changes When You Build with LLMs
AI EngineeringArchitecture

The AI Engineering Mindset: What Changes When You Build with LLMs

AI engineering isn't just software engineering with a model attached. The feedback loops, failure modes, and quality signals are fundamentally different. Here's how to think about it.

Durval Pereira6 min
Database Patterns You Should Know Before Choosing Your Next Database
DatabasesBackend

Database Patterns You Should Know Before Choosing Your Next Database

The choice between Postgres and MongoDB isn't about which is 'better.' It's about understanding the access patterns, consistency requirements, and operational constraints of your system.

Alex Chen5 min

Topics

Architecture

System design, distributed patterns, and architectural thinking for engineers building at scale.

AI Engineering

Building with and for AI systems — from model integration to production ML pipelines.

Backend

Server-side engineering, APIs, data processing, and backend system design.

Frontend

UI engineering, component architecture, performance, and the modern frontend stack.

Databases

Database internals, query optimization, data modeling, and storage engine fundamentals.

Cloud

Cloud infrastructure, deployment strategies, and platform engineering.

Developer Workflow

Tools, practices, and systems that make engineering teams more effective.

Technical Leadership

Engineering management, technical strategy, and building high-performing teams.

Product Engineering

The intersection of product thinking and engineering execution.

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