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Thanks for the summary. I noticed from the announcement you trained on parallel tool calling to save on serial round tripping. This is awesome. Most LLM coding
by vessenes 1y ago
Thanks for the summary. I noticed from the announcement you trained on parallel tool calling to save on serial round tripping. This is awesome.
Most LLM coding is so slow that you're permanently out of flow state, and in 'manager' state right now - I'm interested in a future where you've got enough fast low TTFT support that an engineer could maintain flow state and have sort of super power type productivity at the same time, and this tool makes me think of that.
That is, it looks fast enough to be used as a sort of sidebar info tool, as in "what you're coding might need / refer to these other parts of the codebase" -- effectively increasing an engineer's working memory. Super cool. And obviously useful for an AI engineer as well. Thanks for the writeup!