What practice best improves team use of large language models?

The answers highlight the importance of dedicated AI integration, rapid feedback, enforced AI usage, collaborative tools, and parallelizing work to boost team effectiveness with large language models.

5 answers

Answers

  • Andrew Somervell

    Founder (Product + Technology) · Hamster

    Alignment in minutes

    Andrew Somervell says one of his team's key practices is "alignment in minutes, not meetings," because they just need one shared workspace with AI in Slack, Google Docs and Cursor.

    Supra Insider · Watch on YouTube

  • Ben Celebicic

    Chief Product and Technology Officer (CPTO) · Hinge

    Rapid feedback loop

    Ben Celebicic says the biggest value is the feedback loop, because it lets him learn much quicker whether an idea is worth building by prototyping without engineering support and putting it in users' hands.

    Product School · Watch on YouTube

  • Elad Raz

    CEO · NextSilicon

    Mandating AI coding

    Elad Raz says his company absolutely mandates AI coding, and says he sees people getting 10x more productivity using those tools.

    Aleph · Watch on YouTube

  • Greg Ingino

    Chief Technology Officer · Litera

    Dedicated team

    Greg Ingino says the number one thing is to have people dedicated to the initiative rather than making it a side job, because part-time efforts don't see the same success.

    LawNext · Watch on YouTube

  • Jarred Sumner

    Creator of Bun · Anthropic

    Fanning out work

    Jarred Sumner says he fans out work to many Claudes at the same time, an approach he used in the Bun rewrite and says works very well for him.

    The Pragmatic Engineer · The Pragmatic Engineer · Read

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