to become a good chef, eat a lot. to become a great producer, listen to a lot of music. to direct great films, watch a lot of movies.
these sorts of advices superficially soothe the reality that you're spending too much time consuming and not actually creating. or even practicing creation.
chatml looks very polished and promising. good luck with the project and hope it succeeds.
anthropic mentions MCPs eating up context and solutions here: https://www.anthropic.com/engineering/code-execution-with-mc...
I built one specifically for Cognition's DeepWiki (https://crates.io/crates/dw2md) -- but it's rather narrow. Something more general like this clearly has more utility.
inspired by the karpathy/twitter posts on running (semi) autonomous research loops, I build https://github.com/tnguyen21/labrat to be able to try and replicate some paper results over night. still early stages but I'm getting some use out of it already.
also spending a lot of time thinking about how you "close the loop" on software projects. right now figuring out how you can combine static analysis + review heuristics to let LLMs course correct the codebase when they over-engineer or produced unwieldy abstractions.
https://github.com/tnguyen21/dw2md
LLMs seem to generate much better specs for me when they have access to higher-level architecture docs for systems. Built this tool to take DeepWiki generated articles and format them nicely for tools like Claude Code and Codex to grep through easily.