// blog
Thoughts on Laravel, PHP, system architecture, GenAI, and lessons from building products that ship.
The strongest bug fixes will come from AI systems that read logs, tests, traces, and code together. Humans still own intent and risk. Read the playbook.
A practical look at using Laravel Brain to map controllers, models, jobs, and dependencies before onboarding, refactoring, or AI-assisted coding.
Build an Eloquent whereVectorSimilarTo() scope on top of PostgreSQL and pgvector, then use it for document search, recommendations, and agents.
Learn how to build multi-step AI agents in Laravel and switch OpenAI, Anthropic or Gemini through config instead of rewriting code.
AI tools can write code fast, but senior engineers win by shaping constraints, reviews, tests, and architecture before the output hits production.
AI failures are rarely model-only problems. This guide shows how practical guardrails make GenAI safer, observable, and usable in real systems.
AI is moving closer to cameras, sensors, and factories. Here’s why Cloud 3.0 plus edge computing reduces latency, cost, and risk at scale.
LLM context windows feel arbitrary until you look at tokens, attention, memory, and latency. Here’s the practical version engineers need now.
Twenty years on, SOLID still helps teams ship systems that change safely. The trick is applying the principles pragmatically, not religiously.
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