This is a company selling picks and shovels for the AI bubble. Of course they're going to drip feed "AI is so awesome guys!" stories on their blog.

If you strip away the hyperbolic statement about compilers and the Empire State Building, it's an internal success anecdote.

Would be interested to hear how all of the self-directed AI decisions worked out after launch. This is where I run into problems with AI. Sometimes it makes product decisions that aren't immediately visible and make no sense and cause serious problems down the road. Also, an analysis of how much time was actually saved by using AI? since it sounds like there was a lot of guidance and testing to make sure what the AI did was correct.