Deep Learnings

Tag: ai

  • Agentic Engineering – Tokens are not enough

    —

    by

    David Dworetzky
    in

    Software Engineering is a wild place now. We’re doing more with less. We build sometimes twice as many features with leaner teams. PM’s write code, Engineers write code, design and do PM work. Everyone is more productive and full stack in some sense of the word. Where we’re at, a lot of us are stretching…

  • Management Style: Standard-Bearer

    —

    by

    David Dworetzky
    in

    One of the common questions that is asked of Engineering managers as they go through the gauntlet of an interview process, or even just reflecting on their impact in an organization is “What is your leadership style?”. This is such a tricky question because the Engineering Manager role is demanding: you have to be a…

  • We’re all AI Engineers now.

    —

    by

    David Dworetzky
    in ,

    On non-determinism in Software Engineering. This year we’ve seen the rise of the term “AI Engineer” in job openings. How does this differ from Machine Learning Engineering, which is a combination of Model Training, Inference Optimization and traditional distributed systems engineering skills? The AI Engineer role is meant to address the fact that calling AI…

  • Vibe Coding: A Review

    —

    by

    David Dworetzky
    in

    It was the tweet (xeet) that launched a thousand vibes-based projects. Early in February, Andrej Karpathy posted about how good AI-assisted coding had gotten. The interesting thing about this kind of vibe-based coding is that his flow – using SuperWhisper and Cursor means that he is basically interacting with his codebase at a high level.…

  • A good craftsman never blames his tools

    —

    by

    David Dworetzky
    in

    There has been a tweet that has been in my thoughts a lot in the last.6 months – regarding AI agents. In the end, it boils down to “Agents are the Hello World of the AI Engineer.” At first, I wasn’t sure about this sentiment. General agents may be some ways off, narrow agents can…

  • 5/4 – Papers I’m Reading

    —

    by

    David Dworetzky
    in

    Every week the firehose of new preprints continues for AI. There are so many papers of late, that it is a constant running gag in the ML community about how much research there is to keep up with. My purpose in cultivating more of an intentional practice of reading and engaging with whatever new ideas…