• 2 Posts
  • 99 Comments
Joined 3 years ago
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Cake day: July 1st, 2023

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  • Did you go to the repo before running your mouth? It’s awesome-selfhosted data.

    What AI slop?


    Edit:

    I’m guessing I must have missed something here when I made that comment. I visited the link in the body of the OP not once, or twice, but three times to verify I wasn’t losing my mind. Even went into reading the readme, some issues…etc to verify.

    I’m now realizing that in my Lemmy client the link in the body is more obvious to click on than the actual article itself.







  • Pretty much.

    I’ve started using AI on a project last week and the first thing I do is write tests. Lots of tests.

    With enough guardrails, you could actually get pretty decent quality output out of it and with enough regression tests, you can ensure that nothing’s actually breaking.

    Similarly, reviewing its changes and actually reading the code that’s being generated to ensure correctness is necessary. However, I am finding ways to automate that and reduce the incident rate of problems to even lower than my co-workers.












  • A lot of that pain can be reduced by writing and running your code locally before pushing it to a CI environment. Generally with our automation we write a CLI, And GitHub actions is just an execution environment that calls the CLI.

    And if what you’re trying to do must execute inside an action. You can run workflows locally with docker!