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Joined 2 years ago
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Cake day: June 10th, 2023

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  • Then try writing the code yourself and ask ChatGPT’s o3-mini-high to critique your code (be sure to explain the context).

    Or ask it to produce unit tests - even if they’re not perfect from the get go I promise you will save time by having a starting skeleton.

    Another thing I often use it for is ad hoc transformations. For example I wanted to generate constants for all the SQLSTATE codes in the PostgreSQL documentation. I just pasted the table directly from the documentation and got symbolic constants with the appropriate values and with documentation comments.



  • As an experienced software dev I’m convinced my software quality has improved by using AI. More time for thinking and less time for execution means I can make more iterations of the design and don’t have to skip as many nice-to-haves or unit tests on account of limited time. It’s not like I don’t go through every code line multiple times anyway, I don’t just blindly accept code. As a bonus I can ask the AI to review the code and produce documentation. By the time I’m done there’s little left of what was originally generated.


  • Not only that. As a general rule road markings are hidden beneath the snow, and often signs will be covered as well. You have to make an educated guess what they say. E.g. speed limit is based on contextual clues like road width, distance to treeline etc).

    Really any technology that relies on signs and markings being visible will fail. There is little indication of where the road is. Often a fork in the road is not apparent because the plow has pushed up a snow bank that you must push through (but be careful not to get stuck in it if it’s too dense).

    Combine this with heavy snow in the wind, road salt that picks up dirt that sticks to sensors, fog, and other cars that overtake you while spraying snow across your windshield. It’s honestly crazy that humans manage so well in these conditions.