Thanks so much for your thoughtful feedback! A lot of what you asked I had answered in my initial opening comment (which got flagged).
The name "IDR" and your concept is very interesting, very cool! You are right that we have a lot in common.
My framework, ADRs4AI, belongs to the practice of deliberative programming, which I see itself as belong to "epistemic continuity" — and your focus on "intent" is really key and like-minded.
Now part of the reason the framework is structured the way it is, is so the deliberation record is reconstructible: The decisions that are made in a given context, have all their inputs and boundary conditions documented such as they can be revised with ease (within the same project, or when ported to another).
But the other part is: I realize that I get more out of agents by trying to zero in on what I really care about than on micro-managing every technical aspect or every aspect of implementation. I try to give the agents the most enjoyable design space possible, to let them organize their work and their implementation as they want. I try to focus on hyper-specifying and describing what is necessary to support my actual design goals.
The use case is that this allows me to program much faster. I'll be posting more, but you can already look at:
- The Awesome ADRs for AI list: https://github.com/ADRs4AI/awesome-adrs4ai
- The frontier model observatory (one full record of which is included on the front page of the website): https://github.com/jlumbroso/frontier-model-observatory
- And I've used this retro-actively and from now on to make the maintenance of a popular GitHub Actions more sustainable: https://github.com/jlumbroso/free-disk-space/issues/55
I hope this provides some elements to your questions — please let me know if you have any more thoughts or questions.