Static Sites vs. Servers: Picking the Right Architecture
A decision guide for choosing between static generation, server rendering, and on-demand functions, with practical guidance from Astro and Vercel deployments.
Choosing Between n8n, Make, and Zapier
A pragmatic comparison of n8n, Make, and Zapier across control, complexity, cost, and hosting, with guidance on matching each platform to the right use case.
Building a Centralized Error Handler for Your Automations
A practical guide to designing a single, reusable error-handling workflow that captures failures across every automation, alerts the right people, and aids recovery.
Caching: The Fastest Code Is Code You Do Not Run
A foundational guide to caching: where caches live, how HTTP caching works with Cache-Control and ETags, invalidation strategies, and common pitfalls.
Connecting AI to Tools: An Introduction to Function Calling
An engineer's introduction to function calling: how language models invoke external tools through structured schemas, and how to design the loop safely.
The Repository-Service Pattern, Explained Simply
A practical guide to the repository-service pattern in Laravel: how repositories isolate data access, services hold business logic, and why the split pays off.
When Not to Use an LLM
A practical decision framework for backend engineers on when a large language model is the wrong tool, and which deterministic alternatives to reach for instead.
Rate Limiting and Backoff: Being a Good API Citizen
How to respect API rate limits using HTTP status signals, exponential backoff with jitter, and queue-based throttling in automation tools such as n8n.
AI Agents vs. Workflows: Choosing the Right Tool
A decision framework for choosing between deterministic workflows and autonomous AI agents, weighing predictability, cost, and the nature of the task.