Software Engineering

Practical software engineering insights from building Goalixa in production.

Overview

Posts in this section cover real-world software engineering challenges and solutions — from latency optimization and system design to AI-assisted development and code quality practices.

Posts

Latency Taught Me Better Software Engineering

How moving from dashboard metrics to user-perceived latency changed my engineering mindset. A deep dive into why performance is a product feature, not just an SRE metric.

Using Claude to Speed Up Goalixa Development

Implementing service-level CLAUDE.md files for effective AI-assisted development. How to structure context for AI tools to get meaningful help with real projects.

Topics Covered

Performance Engineering: Latency optimization, caching strategies, database query optimization
AI-Assisted Development: Working effectively with Claude and other AI coding tools
System Design: Microservices patterns, API design, architectural trade-offs
Code Quality: Testing strategies, refactoring, maintainability

Architecture Overview — Complete system design
DevOps Posts — Infrastructure and deployment

Why Goalixa Is Ai Developed Latency Taught Me Better Software Engineering