Hi, I’m Melih. I’m interested in the decisions that make software work well—and what we learn when it doesn’t.
My work here sits at the intersection of software architecture, AI systems, and the Laravel ecosystem. I write to explore the difficult parts: the boundaries, trade-offs, and operational details that are easy to miss in a first implementation.
Writing things down
I want this to be a place for technical investigations. A place to follow a problem from the first question through implementation, experiments, and the choices that remain.
Expect architecture, agent behavior, data pipelines, and the reasoning behind the code. The aim is to leave you with an idea you can examine and apply to your own systems.
Building in the open
I’m building tools under AstroPHP. Trail makes Laravel AI agent executions visible. I’m interested in tools that make complex systems easier to understand and operate.