3 ms·

What are you saying is going to be over in a year or so?

• jw1224 4mo ago
  Not OP, but I generally agree. Models are powerful enough now to reliably instruct other models. They don’t need fancy tools or IDEs, just the command line. With deterministic workflows, type-safe languages and test suites, agentic loops pretty much “can’t fail”. They will continue until the types resolve, the tests pass, and the project requirements are deterministically met. By that point it’s literally just a case of typing a prompt in to a text field, and waiting.
  • ChrisLTD 4mo ago
    "project requirements are deterministically met" makes it sound so easy
  • sanderjd 4mo ago
    This seems true to me in theory, but not in practice.
  • hypfer 4mo ago
    [dead]
  • z3t4 4mo ago
    It works great in dynamic languages as well. Static typing is mostly to aid the IDE. In dynamic languages you can infer the type by looking at the code, and LLM are good at that.
• 01100011 4mo ago
  Right now I think there is an edge to how you construct prompts and config files. There is a large difference between "modify f() to do..." and "modify f() to do... Review the current variables and make sure they are still used consistent with their naming. Look for unreachable and dead code. Examine callers and called functions for side effects from the introduced changes...". I don't think that will make much difference in a year.
  • riazrizvi 4mo ago
    That's not going away.
    • devin 4mo ago
      Yeah, uh, why would it go away? In what world do you completely surrender your ability to control the work product, the methods for achieving said work product, etc. That is the dream of a PHB.
    • msdz 4mo ago
      Who's to say it won't?
      • sanderjd 4mo ago
        Who's to say it will? :)
    • 01100011 4mo ago
      It's already going away for me in a sense as I build up a library of AGENTS.md and Codex skills. I see no reason such things won't get baked in at the agent layer so that domain specific rules and such are automatically applied when appopriate.
      • sanderjd 4mo ago
        I'm not sure if you're ahead of me or behind me on this curve, but fwiw, my experience has been that we have now encoded everything that is useful in the various markdown files and have reached the point of diminishing returns on this, with more powerful new models making noticeable but not revolutionary improvements as they come out.
      • riazrizvi 4mo ago
        You're essentially making the case here that your work is now automated into a set of one-shot actions that can be performed by an AI model and your job has become to selectively apply these actions. That says either a) we don't do the same work, and instead you're doing some kind of low level devops function that I've only ever seen in rare cases where a human isn't needed anymore, or b) you've vastly oversimplified the software engineering you're doing. Sophisticated chain of reasoning LLMs like ChatGPT have baked in some natural language operations and they make it so i can create at a higher level of the language expression stack. But I'm still formulating my own expression. There's no conceivable path I can see where an improved model is going to be able to do what I do. I think that is clear from my ChatGPT threads at least.