Mehdi-Hussen

Use AI in software development to identify and predict where the system could fail based on past failures. That way, you can have a software process that stops if risk crosses a set limit. Skipping AI in software development can lead to a productivity gap Part of the reason is…

For many professionals, searching for ChatGPT alternatives starts with a simple frustration: the tool works, but not always in the way they work. Generic responses, limited control over data, and gaps in workflow integration often surface once AI moves from experimentation into daily use. By 2026, the question is no…

In 2023, developing AI software was about proving what was possible, usually by wiring a single model into a simple app. It is 2026, and the novelty has now shifted to necessity.  The question is more about how to design systems that remain reliable and context-aware on real-time operational data.…

Founders involved in AI development can incur high costs when proceeding without a clear scope. It’s because the cost of AI app development depends on a combination of design decisions, infrastructure requirements, compliance requirements, and the quality of your data structure. Revolut added an AI layer to block scam attempts…

AI is shifting from an experimental feature to a core product capability. Founders and CTOs feel the pull: users expect more innovative experiences, and competitors are already building with intelligence at the centre. The urgency is evident: the UK’s AI market is valued at £195.5 billion and projected to reach…