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whenever I see post like this i said well yeah, but its too sophiscated to be practical
by firemelt 7mo ago
whenever I see post like this
i said well yeah, but its too sophiscated to be practical
- adammarples 7mo agoIt's not sophisticated at all, he just uses a model to make some documentation before asking another model to work using the documentation
- jeremychone 7mo agoFair point, but because I spent a year building and refining my custom tool, this is now the reality for all of my AI requests. I prompt, press run, and then I get this flow: dev setup (dev-chat or plan) code-map (incremental 0s 2m for initial) auto-context (~20s to 40s) final AI query (~30s to 2m) For example, just now, in my Rust code (about 60k LOC), I wanted to change the data model and brainstorm with the AI to find the right design, and here is the auto-context it gave me: - Reducing 381 context files ( 1.62 MB) - Now 5 context files ( 27.90 KB) - Reducing 11 knowledge files ( 30.16 KB) - Now 3 knowledge files ( 5.62 KB) The knowledge files are my "rust10x" best practices, and the context files are the source files. (edited to fix formatting)
- tjoff 7mo agoHow do you re-evaluate your approach? I'm asking because the landscape, at least from my lens, was completely different a year ago. So I fear that as the foundation shifts whatever learnings, approaches and mental models I have risk being obsolete and starts to work against me. The problem of evaluating is hard enough as it is without layers of indirection built on top of it.