This episode is part of a wider mini-series looking at Estimation in Software Development.
In this episode, I ask the question, is AI the answer?
Following on from the episodes on Qualitative and Quantitative approaches, it's easy to see there are pros and cons to individual practices. And realistically, it feels like you will need a blend of various approaches to create truly valuable estimates.
But, this all seems like a lot of work and investment, a lot of training, tools and time to achieve. And even more so to iteratively improve to nudge towards those valuable estimates.
As I'll say many times in this series, producing estimates costs. Producing valuable estimates costs a lot.
Thus, it doesn't take much of a leap of logic to ask the question, can AI help us here?
In an ideal world, there would be an AI-powered tool that would just do the work for us. Thus, I explore how such a tool could come into being, and probably more importantly, why I doubt it will happen any time soon.
-----
Find this episodes show notes at: https://red-folder.com/podcasts/203
Have an idea for an episode topic, or want to see what is coming up: https://red-folder.com/podcasts/roadmap

Ver todos los episodios