IBM taps AI to translate COBOL code to Java | TechCrunch
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IBM's new product offering, Code Assistant for IBM Z, leverages a generative AI model to translate COBOL code to Java.

It’s not the 1st time a language/tool will be lost to the annals of the job market, eg VB6 or FoxPro. Though previously all such cases used to happen gradually, giving most people enough time to adapt to the changes.

I wonder what’s it going to be like this time now that the machine, w/ the help of humans of course, can accomplish an otherwise multi-month risky corporate project much faster? What happens to all those COBOL developer jobs?

Pray share your thoughts, esp if you’re a COBOL professional and have more context around the implication of this announcement 🙏

  • Kerfuffle@sh.itjust.worksEnglish
    4·
    1 year ago

    Even if it only converts half of the codebase, that’s still a huge improvement.

    The problem is it’ll convert 100% of the code base but (you hope) 50% of it will actually be correct. Which 50%? That’s left as an exercise to the reader. There’s no human, no plan, no logic necessarily to how it was converted also so it can be very difficult to understand code like that and you can’t ask the person who wrote why stuff is a certain way.

    Understanding large, complex codebases one didn’t write is a difficult task even under pretty ideal conditions.

    • PuppyOSAndCoffee@lemmy.ml
      2·
      1 year ago

      First, odds are only half the code is used, and in that half, 20% has bugs that the system design obscures. It’s that 20% that tends to take the lionshare of modernization effort.

      It wasn’t a bug then, though it was there, but it is a bug now.

      • Kerfuffle@sh.itjust.worksEnglish
        3·
        1 year ago

        I was speaking generally. In other words, the LLM will convert 100% of what you tell it to but only part of the result will be correct. That’s the problem.

          • Kerfuffle@sh.itjust.worksEnglish
            3·
            1 year ago

            So you might feed it your COBOL code and find it only coverts 40%.

            I’m afraid you’re completely missing my point.

            The system gives you a recommendation: that has a 50% chance of being correct.

            Let’s say the system recommends converting 40% of the code base.

            The system converts 40% of the code base. 50% of the converted result is correct.

            50% is a random number picked out of thin air. The point is that what you end up with has a good chance of being incorrect and all the problems I mentioned originally apply.

              • Kerfuffle@sh.itjust.worksEnglish
                2·
                1 year ago

                One would hope that IBM’s selling a product that has a higher success rate than a coinflip

                Again, my point really doesn’t have anything to do with specific percentages. The point is that if some percentage of it is broken you aren’t going to know exactly which parts. Sure, some problems might be obvious but some might be very rare edge cases.

                If 99% of my program works, the remaining 1% might be enough to not only make the program useless but actively harmful.

                Evaluating which parts are broken is also not easy. I mean, if there was already someone who understood the whole system intimately and was an expert then you wouldn’t really need to rely on AI to port it.

                Anyway, I’m not saying it’s impossible, or necessary not going to be worth it. Just that it is not an easy thing to make successful as an overall benefit. Also, issues like “some 1 in 100,000 edge case didn’t get handle successfully” are very hard to quantify since you don’t really know about those problems in advance, they aren’t apparent, the effects can be subtle and occur much later.

                Kind of like burning petroleum. Free energy, sounds great! Just as long as you don’t count all side effects of extracting, refining and burning it.