15 karma · joined April 1, 2013
Works well with Codex, but not great with Claude Code or Gemini CLI yet (both are bad at novel CLI tools despite having a skills file). Also works well in conjunction with other skills (Atlas, or Apple Script), especially with non-vision models like Spark.
It was initially one-shotted from a GPT-5.2 Pro briefing into Codex-5.3-Codex-xHigh, then iterated on to fix performance issues and expand capabilities.
same as what happens with claude
Which – to be clear – is not support for it, but a question about what is emergent from the new things we create.
the 13.4% is likely leaders in ML for some specific use case like fraud or recommendations. it would be great to have access to raw data with anonymized demographics.
we are very, very early.
You can use the result of one here https://huberman.klu.ai/
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outside of us, here's what I see happening
80% of folks aren't building in prod
if you pull apart the 20% that are building, I've seen this from largest to smallest population:
1. most people are not monitoring, followed by 2. home-grown solutions logged into existing observe/analytics platforms, followed by 3. LLMOps tooling like Klu
the 2 cents on the unfortunate truth: I think that many of the AI bolt-on features are living the classic feature lifecycle in that they are launched, no one is monitoring them for improvement, and the feature retention sucks so there's no top-down push to prioritize. the people measuring and improving are exceptional builders regardless of LLMs/RAG.