Diffblue
company on 1 show · 4 statements across 1 episodes · said 8 times in 1 episodes since 2023
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the MAD Podcast 8
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4 statements about Diffblue, every show
Diffblue generates unit tests in 1.5 seconds versus 40 seconds for LLMs
“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…”
Interactive AI code suggestions are strictly bottlenecked by human review speed
“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…”
Diffblue generated 3,100 unit tests in eight hours for a bank
“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.”
Lodge: Diffblue uses ensemble of reinforcement learning and LLMs
“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…”