Any comments on what you can or cannot rely on it for relative to cc and codex would be appreciated too!

These sites have the immediate scent of 'high design', with errors that no 'high designer' would dare make.

The italics give me nausea. Text promoted with orange fill is seemingly random. There is no thought behind the combination of art and copy. Random smattering of Title Case and Sentence case and lower case. A lack of commitment to a full stop Widowed H1s. H1s with random spaces .

At the same time, if I hammer CMD - to 25%, it looks fancy. Perhaps nobody gives a fuck.

That said, I'm excited to try this tool!

Is this improving the cache hit and hence overall efficiency of coding workflows?

Does it also let me host a local llm (deepseek)? What are model min requirements for this?

I specifically use multiple different models and providers, so this wouldn't be useful for me.

And it contributes to the problem of each person vibe-coding their own, incompatible, half-baked tool in a space, instead of contributing to a small set of tools and expanding them.

It'd be better to just extend an existing tool.

AI marketing slop. This is how all models and coding harnesses work, isn't it?

The author claims (in another AI-written post):

> LangChain — along with every generic agent framework I checked — rebuilds the prompt every turn. Timestamps get injected. History gets reordered. Tool schemas re-serialize with different whitespace.

I haven't touched LangChain in a long, long time, but don't think any of the current harnesses, Claude Code, Pi, Crush, OpenCode etc do that except if you change configuration? Keeping the context stable for caching is a very basic principle and not a wild innovation.

This posing as DeepSeek-specific is also a mystery.

That's the pinnacle of AI slop over engineered garbage in my opinion. All of that information is noise.