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The Blog
Engineering notes, build logs, and thoughts on creative development.
Building AI-Native Apps: Vector Search in Laravel 13 & PostgreSQL
This guide explores how Laravel 13 has revolutionized search by introducing native vector similarity methods. We cover everything from the basic whereVectorSimilarTo syntax to the advanced orchestration of embeddings using the new Laravel AI SDK, providing a clear path for architects to build intelligent, semantic search engines.
FastAPI vs. Prism vs. WireMock: The 2026 Developer’s Guide to Mastering API Mocking
Stop stalling your development cycle. Discover why FastAPI, Prism, and WireMock are the three pillars of 2026 API mocking—perfect for testing AI agents, ensuring contract certainty, and simulating chaotic production failures.
Beyond the Single Prompt: Orchestrating Multi-Step AI Workflows in Laravel 13
One AI agent is a chatbot; three AI agents are a department. In this tutorial, we move beyond basic API calls to build a sophisticated "Orchestrator-Worker" system. See how to use the Laravel 13 AI SDK to chain agents, handle structured output, and build reasoning engines that actually solve complex business problems.
Step-by-Step: Building a Zero-Downtime Data Migration Tool with Laravel Zero
Stop crashing your production DB. Standard migrations are fine for small apps, but when you hit millions of rows, you need a strategy. Learn how to build a custom CLI migration tool with Laravel Zero using the "Expand-Backfill-Switch" pattern to move data safely with zero downtime.
Native Vector Search in Eloquent: Semantic Discovery the Easy Way
Why manage a massive external search cluster when your favorite framework can handle it natively? In 2026, Laravel and pgvector have finally merged to give us "Semantic Search" without the infrastructure headache. See how I’m using native Eloquent methods to replace legacy keyword matching with AI-driven intent—perfect for local marketplaces and dealer directories.
Beyond the Dashboard: Engineering a High-Throughput GMB Data Pipeline
Managing a few local listings is easy; orchestrating thousands across a national network is a distributed systems challenge. Here’s how I build resilient, reactive GMB infrastructures.
Beyond the Radius: Why I’m Switching Dealer Networks to Hexagonal Grids
Traditional "Point-in-Polygon" searches are failing modern dealer networks. As I transition into Data Engineering, I’ve found that administrative boundaries are too "noisy" for real-time scale. Discover why I'm moving toward Uber’s H3 hexagonal indexing to build faster, unbiased, and more performant geospatial architectures for dealership directories.
Vespa.ai vs Elasticsearch: Which is Best for Real-Time Vector Search?
A deep dive into Vespa.ai vs Elasticsearch for 2026. Learn why Vespa's native tensor support and AI-driven query conversion win for real-time search intelligence.
Next.js vs. Laravel: Which Framework Should You Choose in 2026?
In 2026, the "PHP is dead" meme is long gone, and Next.js has matured past its experimental App Router phase.