It will be harder for new languages and frameworks. The AI Its exasperates the bootstrapping problem.
An interesting example is perl which is essentially static at this point (perl 6 was renamed and never got traction).
I know from experience running pipelines that those old perl scripts almost always work, where if I come across an old python script (2x) I will have to go in and make some adjustments. Maybe a library has changed too…
People like new shinny things though. Maybe the new languages will try to train the ai and release there own models, but that’s a huge lift.
Might be easier than you think. If DeepSeek can train a model cheaply, so you can you. Probably more cheaply as the technology and models get better.
People used to be worried that AI performance was going to degenerate if models are trained on AI slop, but it's been found that synthetic data is the bee's knees for coding, reasoning and such, so it may well be that a new language comes with a large amount of synthetic examples which will not just be good for AI training but also for documentation, testing and all that.
An interesting example is perl which is essentially static at this point (perl 6 was renamed and never got traction).
I know from experience running pipelines that those old perl scripts almost always work, where if I come across an old python script (2x) I will have to go in and make some adjustments. Maybe a library has changed too…
People like new shinny things though. Maybe the new languages will try to train the ai and release there own models, but that’s a huge lift.