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Boris Cherny

What Boris Cherny thinks about AI agents

@boris-cherny · 35 positions · On ppll ↗

Creator of Claude Code at Anthropic.

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4 dated positions, 2026, in their own words. Our reading of what Boris Cherny has said — not written or endorsed by them.

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  1. You don't need slash goal, you don't need slash loop. These help, but really all you need is give the model the task, give it a way to verify the output of its work so it doesn't get stuck, and it will just go.

    ↗Boris Cherny: We Cut 80% of Claude Code's Promptyoutube.com 15th of 20 in this recording

  2. scaling laws

    Like this is actually like a new form of test time compute. Like when we talk about the scaling laws and kind of we talk about the model getting more intelligent over time, historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training. And then recently, we also added test time compute. So this is essentially a fancy way a researcher way of saying how many tokens does it generate. And now dynamic workflows are essentially a new way to orchestrate test time compute.

    ↗Boris Cherny: We Cut 80% of Claude Code's Promptyoutube.com 17th of 20 in this recording

  3. we're on the path to fully automating the maintenance of our apps by doing this. And this is again hundreds of agents running every day, sometimes thousands of agents every day. It's doing the work of you know, dozens or hundreds of engineers.

    ↗Boris Cherny: We Cut 80% of Claude Code's Promptyoutube.com 18th of 20 in this recording

  4. 5 months earlier
  5. It’s not so much about deep work, it’s about how good I am at context switching and jumping across multiple different contexts very quickly.

    ↗Building Claude Code with Boris Cherny — The Pragmatic Engineernewsletter.pragmaticengineer.com