The lack of naming seems to indicate a fundamental misunderstanding of how LLM coding agents are successful, and just makes me doubt anything about this project being useful and workable.
Yeah it seems based on 2023 research which is ancient, back when we didn't have coding agents at all, and on some 1980s sci fi concepts of "how machines think" (beedeeboop) rather than the all too human coding agents we have. If I had to design one of these, I'd go for: 1. Token minimization (which may be circular, I'm sure tokens are selected for these models at least in part based on syntax of popular languages) 2.…
There is no actual thought occurring. Arguably, we can say the same about a lot of humans at any given moment, but with machines there never is. It's all statistics.