Announcements, case studies, and engineering notes from the Marka Development team.
For fifteen years, ecommerce product discovery meant one thing: a search box, a keyword, and a results page. The customer did the work. They searched, browsed, filtered, clicked, c...
Read more →
The question engineering teams ask most often when starting an AI agent project is not which model to use. It is which framework to build on. Get that wrong and months of developme...
Read more →
Digital transformation frameworks were built for a world where humans were the binding constraint. Every model, whether customercentric, operational, datadriven, or cultural, assum...
Read more →
Most enterprise AI initiatives do not fail because the model is wrong. They fail because the architecture underneath it was never built to support what AI actually needs to work. N...
Read more →
Every engineering leader has seen the acceptance rate numbers. GitHub Copilot and similar tools report acceptance rates in the 80 to 90 percent range, and the natural conclusion is...
Read more →
Most delivery problems that reach executive level, a project running months over budget, a security breach, a failed compliance review, were visible long before they escalated. The...
Read more →
Every enterprise compliance conversation eventually reaches the same uncomfortable moment. The auditor or the regulation or the board risk committee points at a system that has bee...
Read more →
The question lands in every CTO's inbox eventually. Your compliance team has flagged NIS2. Your auditor has flagged NIS2. Your insurance provider is asking questions about NIS2. An...
Read more →
There is a conversation happening in every CTO's office right now. Someone from engineering has done the math: GPU rental is $2/hour, API tokens cost $15 per million outputs, there...
Read more →