Announcements, case studies, and engineering notes from the Marka Development team.
Most retailers already own the data they need to understand their customers. The pointofsale system records every basket. The CRM holds names, emails, and service history. The loya...
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43 percent of startups fail because they build something nobody wants. Not because the code was bad, not because the team was underqualified, and not because they ran out of money ...
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Flutter's benchmark numbers look compelling on paper. Average frame render time of 1.72 milliseconds with a p95 of 2.45 milliseconds, cold startup at 2.1 seconds, consistent 60 fra...
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A model that scores 94 percent on a capability benchmark and fails one in three production attempts is not a contradiction. It is the defining operational reality of enterprise AI ...
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Most applications do not need event sourcing. That is not a warning buried at the end of this article. It is the starting point, because the most expensive mistakes with this patte...
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Cloud spend has become the third largest operating cost for most technology companies, behind payroll and office space. Unlike payroll, it grows without headcount decisions. Unlike...
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The EU AI Act is now enforced. August 2, 2026 activated the main highrisk AI system requirements under Articles 6 through 15, including conformity assessments, technical documentat...
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Only 31 percent of software projects finish on time, on budget, and within scope. That figure has held roughly steady for three decades of tracking by the Standish Group, through w...
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There is a number that every engineering leader should know before making decisions about refactoring. Developers lose up to 42 percent of their time managing technical debt. That ...
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The demo worked. The stakeholders liked it. The prototype was built in days instead of months. Now someone has to decide whether it is actually ready to go live, and that is the qu...
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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...
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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...
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Digital transformation frameworks were built for a world where humans were the binding constraint. Every model, whether customercentric, operational, datadriven, or cultural, assum...
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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...
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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...
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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...
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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...
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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...
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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...
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