Diffblue

“You could really still only go as fast as a human can go, because a human has to review that, decide whether it's useful or not, if it is useful, make it, fit it into the code and finish the work. You're still basically going at the speed of a human, whereas w…”

“We built a version of our product where we use the large language model to generate all the tests. So we took our reinforcement lending engine out and put in large language model, and we did a lot of work on prompts and so on. And you know, our product will wr…”

“Yeah, we, so we use an ensemble approach. So we've got different aspects of the models and we've obviously been playing with large language models to see if we can improve on that process. So some of this is like, how do you make predictions? And you can use l…”

“You know, for one of the banks, they had an application. We wrote like 3100 tests in about eight hours. Now they estimated that that's like a year's work for a single developer, 3000 tests. And we can do that in eight hours.”