If AI is making developers faster, why isn’t your outsourcing bill smaller?
It’s a fair question. For organisations paying for development by the hour, the promise of faster coding creates an obvious expectation: the same delivery should cost less.
But between an AI tool generating code and that code becoming dependable enterprise software, the economics get more complicated. Faster coding can shift effort into review, testing and rework. Productivity gains can remain invisible inside a supplier’s delivery process, while the costs of maintaining the software sit with your business.
That raises an uncomfortable possibility: the measure you use to compare development partners may be telling you less and less about the value you receive. This whitepaper examines what the research actually shows about AI coding productivity, and what it means for your next sourcing decision. Where do the gains hold up?
What happens to the costs that coding benchmarks leave out? And what should you expect from a partner whose tools have changed, but whose commercial model hasn’t?
It includes eight questions to put to your development partner, with credible answers to listen out for and warning signs to recognise. Before your next renewal, you need to know where the AI benefit goes and what it would take for your organisation to capture it.
Read the full whitepaper.
