As someone building software to design genetic tools, this is actually a pretty good overview. It's analogies are pretty solid, even if they are just analogies. It's a well-described snapshot of the early phase of education where this helps build a grand intuition and relations between disciplines. Just be careful to remember that they're just analogies, and in general can't be relied on to actually discover, invent, design or conclude.

The fun part for everyone here is that the science has improved so far so quickly that at this point that we are starting to be able to improve, implement and otherwise make good on those coding-style capabilities. We can start to write, patch, update, and affect that code - and do so in intelligent and rational ways, rather than the screens set up in the past century.

The next section I would add would be one that actually started to talk about the compiled programs - the protein's themselves. All that code, all those rules, all those heuristics are there to be run through an atomic 3D-printer to produce proteins. And in an ensemble, those proteins form a closed community within a cell, which then form communities in a tissue, which form in communities called an organism. Those compiled proteins actually do the work at the lowest levels but often get a bit of short shrift while we all stare at their source-code in amazement. The source is elegant, but the programs are even more amazing, in my humble opinion.

Here are some 'profiles' of the kinds of economically and socially interesting programs we've started to make based on the above source-code. An 'app-store' of compiled apps if you will: https://serotiny.bio/notes/proteins/