The client was a small UK Payment Service Provider providing multichannel solutions to a range of industry sectors with payment terminal devices managed directly and through third-party resellers (ISVs). The client’s proprietary payment processing platform provided both server facilities to handle authorisation and settlement as well as MS Windows and Android point-of-sale payment integrations to merchants’ own PoS systems. The need to provide regular and secure updates for customers and the wide geographical coverage of the user base meant that there was a significant logistical challenge to update customer installations manually and there was therefore a need for a means to streamline this so remote terminals could be configured and updated in a carefully controlled manner.
Why Replacing Developers with AI Is Going Wrong and What Smart Leaders Are Learning Instead?
AI has not removed engineering effort. It has relocated it. Time once spent writing code is now spent reviewing, debugging, securing and unpicking it. Organisations that rushed to replace developers with AI are discovering that they have traded clear headcount savings for hidden technical debt, fragile systems and a greater dependence on their most experienced engineers. Vibe coding with AI can be powerful for proofs of concept and investor friendly demos, but only when the code is treated as disposable experiment tooling rather than the foundation of a production platform. The organisations pulling ahead are not asking how to replace developers with AI. They are asking how to combine machine speed with human judgement, using rapid AI powered experimentation at the edges and disciplined engineering at the core to build systems that are faster, safer and more resilient.
