When AI writes more code, why isn’t engineering getting faster?
The first productivity problem that Ian Eshelman, Chief Technology Officer at Kobie Marketing, encountered with AI-assisted software development was not that the technology could not generate enough code, it was that engineers were struggling to review everything it produced.
Developers believed they were moving faster, but the increase in AI-generated output was creating a bottleneck further down the development process. Human reviewers could examine only so much code, undermining the productivity gains that appeared to be accumulating at the point of generation.
“The engineers thought they were actually running much faster when, in actuality, they were producing less because they were spending so much time generating review,” says Eshelman.
The experience exposes a central tension in enterprise AI adoption. Generating software faster does not automatically translate into delivering it faster. Code must still satisfy requirements, pass tests and meet security expectations. As generation becomes easier, verification can become the constraint.
...
Copyright of this story solely belongs to www.expresscomputer.in. To see the full text click HERE
