“Everyone expects these you know, agentic systems to perform at the level of a human, right? Because that's what they're always going to compare them to. But in a lot of cases, they'll have these agents just in the IDE. And that's like the equivalent of onboarding a human engineer, just like throwing them into your code base and being like, all right, like go. But like the reality is when you onboard a human engineer, what do you actually onboard them to? Slack, Notion, linear, like Datadog, Sentry, PagerDude. They have all of these other information sources that they need to actually be a productive engineer.”
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More from Matan Grinberg
Insight
Optimal future AI coding interfaces will not evolve from traditional IDEs
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Massive context windows will not eliminate the need for RAG retrieval
“Like if you do have billion token context window model, you throw it all in there. It's still gonna be more expensive. The reason why retrieval is so important for us is because even if there is a model that's going to have these larger context windows, and ce…”
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“Capability in code is really core to performance on any LLM and like loosely, the better any LLM is at code, the better it is at any downstream task, even that's like writing poetry.”
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“The reality is very clearly in the next few years, the amount of lines of code written by a human will go down. Like the percentage of code written by humans will go down.”
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