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cover of episode "Software should be soft" - Meter Command with Anil Varanasi

"Software should be soft" - Meter Command with Anil Varanasi

2024/9/30
logo of podcast Hallway Chat

Hallway Chat
AI Deep Dive Transcript
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A
Anil Varanasi
F
Fraser
N
Nabeel
Topics
Fraser: 我认为过去十年，软件创业公司过于关注效率提升，而忽略了软件的创造性。 Nabeel: 我同意Fraser的观点。过去十年，软件创业公司主要关注效率提升，而非技术创新，这阻碍了对AI的探索。 Anil Varanasi: Meter Command 结合了命令行接口和仪表盘的优点，旨在改进软件与基础设施交互的方式。软件开发历史较短，仍处于手工制作阶段，很多软件设计停留在十多年前的水平。大型语言模型已经足够强大，可以用于创造新的软件交互方式，但目前这方面的探索还不足够。软件应该易于使用和修改（“软件应该柔软”）。企业软件通常针对特定用户群体设计，忽略了其他用户需求，Meter Command 试图解决这一问题。Meter Command 通过自然语言接口，帮助用户快速查询、操作和生成网络基础设施相关的软件。在现有产品中引入AI技术时，应关注解决问题而非技术本身。要构建成功的AI驱动型产品，需要拥有整个技术栈，从架构到数据，再到用户行为。我认为未来软件将根据用户的特定需求即时生成。未来十年，AI将彻底改变各个行业，这需要持续的努力。应该重新设计操作系统，以适应未来AI驱动的软件。

Deep Dive

Shownotes Transcript

Join Fraser, Nabeel, and special guest Anil from Meter as they dive into the innovation behind Meter Command. Meter's new interface has been called the "future of software" and a far ranging interview talks about the problem of designing product around personas, how command interfaces bridge the gap between CLI and dashboards, the importance of owning your tech stack, how your data is your product roadmap, and the orientation to long term thinking while still staying on the cutting edge.

Links* See a demo of Meter Command)* There's a lot of fine work from Bret Victor on visualization and interfaces, but here's one to get you started)* Geoffrey Litt's Malleable SW in the age of LLMs)* Hunter Walk's post on OKRs) post his stint at Google

  • (00:00) - Intro

  • (00:19) - Meter Command and the future of software

  • (03:36) - What we forget about software making

  • (06:39) - Models make you reassess your own product

  • (07:27) - Why aren't there more AI explorations in software?

  • (09:38) - The "efficiency era" of startups

  • (13:21) - Software should be soft

  • (17:13) - The problem of "persona building" software

  • (21:29) - Enterprise software is reporting

  • (22:37) - Your data is your product roadmap

  • (25:13) - Emersing in the trends of AI as a founder

  • (27:27) - From janky prototype to custom model building

  • (29:55) - "No AI" - Build for the problem, not the technology

  • (36:50) - Full stack first, APIs over time

  • (40:14) - If you want to be early you have to be full stack

  • (48:28) - Long term orientation

  • (50:56) - What one thing would you work on now

  • (55:41) - End