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AI at Work

Tweets, posts, and field notes on how people and companies are actually adopting AI at work.

  1. Blog post

    Mar 14, 2026

    The production function changed

    Strong framing for AI at work: software output is no longer primarily constrained by typing speed or manual implementation. If this holds, teams should optimize less for coding throughput and more for sharper specs, tighter feedback loops, and robust review guardrails.

    Source
    hyperbola
    Published
    Mar 14, 2026
    Tags
    ai-adoption agents ai-coding workflows productivity

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  2. Tweet

    Mar 13, 2026

    Management In The Age Of AI

    This frames AI adoption as a management problem, not just an individual productivity upgrade. The argument is that managers need hands-on familiarity with AI tools, clearer goals, tighter coordination, and more explicit decisions about spend and performance expectations.

    Author
    staysaasy
    Published
    Mar 13, 2026
    Tags
    ai-adoption leadership org-design workflows metrics

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  3. Tweet

    Mar 13, 2026

    Build your own software factory

    The post frames AI-enabled delivery as an organizational capability, not just a tool choice: teams can build a reusable software factory around cloud agents and shared workflows. Useful signal for companies treating agentic engineering as platform strategy.

    Author
    Gokul Rajaram
    Published
    Mar 13, 2026
    Tags
    ai-adoption agents workflows engineering org-design

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