Securing AI-augmented development: the control that holds is imposed, not supervised
Having one AI review another does not secure an agentic chain. The real safeguard: controls the system imposes, not one more AI.
Application project management, information systems modernisation, and artificial intelligence in software development.
Having one AI review another does not secure an agentic chain. The real safeguard: controls the system imposes, not one more AI.
AI-generated code compiles and looks right. Where its flaws hide, how to run a focused review and make it verifiable without slowing the…
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.