Securing a business application built with AI: the risk has moved from the network to the code
When your teams code with AI, the risk leaves the network for the code, dependencies and build. How to govern it without slowing production.
Application project management, information systems modernisation, and artificial intelligence in software development.
When your teams code with AI, the risk leaves the network for the code, dependencies and build. How to govern it without slowing production.
Corrective, adaptive, perfective, preventive: the four types of application maintenance, what each one covers and how to weigh them in a…
An AI prototype holds up in a demo but stalls in production. The limits of AI-augmented development, and the engineering layer that…
Nearly a third of internet users block tracking. Rather than working around them, measure differently: server-side, consent-based,…
Agentic AI and the lifecycle of a business application: which SDLC stages benefit from automation, which demand irreplaceable human…
When AI leaves the developer's terminal to become an autonomous infrastructure resource, four governance questions await the CIO.
The Claude Code advisor tool is not a feature. It is a delegation pattern that questions the architecture of your business applications.
Poorly integrating a tool into your information system is costly. Articulating requirements before building is the most underrated skill…
Modernisation of the IS: legacy systems cost much more than maintenance. Progressive strategy, Cynefin and MoSCoW frameworks, concrete…