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It's only a cause for concern if its capabilities are going to plateau.

More likely, advances in the field will mean that we end up in a more accessible world, where developers who don't normally think about accessibility have a generation engine doing a pass over their work adding appropriate labeling, fixing elements to work with screen readers, etc.

We just had a big paper about using genAI to improve test coverage.

And we haven't even really hooked LLM code generators up to linters and test suites broadly yet.

I can foresee a future where language specific Copilot features might include running suggested generations for HTML though an ARIA checker while running Python generations through a linter, etc. Especially when costs decrease and speed increases such that we see multiple passes of generation, this stuff is going to be really neat.

I still mostly consider the tech (despite its branding) in the "technical preview" stage moreso than a "finished product," and given the capabilities at this stage plus the recent research trends and the pace of acceleration, it's a very promising future even if there's valid and significant present shortcomings.



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