Anyone who's even tangentially associated with computer programming knows that modern AI coding assistants and agents can be incredibly efficient at generating huge amounts of functional code . But coders making use of those tools also know better than to trust the accuracy of that code , meaning substantial effort needs to be spent reviewing any AI-generated output. A recent study of actual coding practices across hundreds of firms finds that human code review forms a significant "bottleneck" for the overall efficiency of AI coding tools, resulting in "little evidence that firms increase...

Source: Ars Technica