Likewise - it's not just about generating production code faster; it's now feasible to create all kinds of experiments, test fixtures, visualizers, analyzers, and support software you never would have had time for before, which you can use to improve your process and create a better product.

I recently had to evaluate some data one of my coworkers had produced, to decide whether some process was going to be feasible. It would have taken probably a couple of weeks for me to dig through it all by hand, so he whipped up a quick little interactive web app that let me explore the data with all the connections and context visible, and I reviewed it much more quickly. A single-use application for a single user - what a luxury! - and it took less time to create than the time I saved by using it.

I will check in Monday morning on the result of an A/B test I set running over the weekend, comparing a reimplementation of a certain tool with its original. The test spins up AWS boxes, pulls code repos, compiles them, runs analysis, recovers from errors and maintains a retry queue, etc., etc., and ultimately collates the results and generates a report. I didn't write a line of this! I wouldn't have written anything nearly so sophisticated, and the results I'd have gotten would have been far less useful. But here we are: I tell the computer "make it so", and I get a really valuable test which runs itself while I enjoy my life, and we'll be able to switch to the new tool with confidence.