“Now for, then there is this level of 30 to 40% of the incidents or issues where you need to involve you know, a senior engineer for sanity checking. I think that healing will appear in, I don't know, six months to a year that will be comfortably, the technology will be there.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
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More from Raaz Dwivedi
Opinion
Dwivedi: Claude is superior at agentic tool calling and error unstacking
“For some of the agentic part of the stack, we are shifting towards Anthropic because they're agentic and the tool calling, especially the unstacking part, you know, when you go down the wrong path and you build context that forces you to keep going down the wr…”
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“No amount of workflows will suffice for a big enterprise. Like you have to link together some of the missing pieces, some of the poorly instrumented data, and that requires world knowledge and a few iterations with the world knowledge.”
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PredictionNot checkable as stated
Dwivedi: AI agents that reorganize whole codebases are years away
“That kind of a full agentic system that, you know, just reorganizes the whole code base. I would say, well, AI always keeps surprising you, but at least a couple of years away, if not more, where you can then rely on creating the code base.”
Raaz DwivediOct 5, 2025▶ 40:08⚡️Traversal: Causal ML and Reinforcement Learning
Insight
Dwivedi: LLMs handle semantics while statistics must handle time series
“The agent is not good at looking at time series data, so that's, that is what statistics needs to take care of. But statistics doesn't understand what is the relationship between latency and memory usage and disk utilization. So that is the LLM part.”
Raaz DwivediOct 5, 2025▶ 19:45⚡️Traversal: Causal ML and Reinforcement Learning
Insight
Dwivedi: Enterprise AI conviction requires production testing, not staging demos
“Everybody, the reason nobody gets convinced on staging environment is that everybody thinks that their environment is unique, right? Like it's the most complex thing on earth. So they're like, can your AI actually figure out the complexities of my system? Alth…”
Raaz DwivediOct 5, 2025▶ 43:51⚡️Traversal: Causal ML and Reinforcement Learning
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