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How does it work with mainstream technologies that are being actively developed? Did anyone try working with LLMs and Swift for example? Is the AI suggesting d

• n_ary 2y ago
  LLMs are always lagging. Even in terms of Go, I knew someone used a copy-pasta from chatgpt this week on code review because chatgpt did not have most recent go updates, so this PR has a very convoluted mass of functions created, but the entire PR should have been just one method call which is available since go 1.22 I suspect that the productivity gain we see now from LLM will generate adequate tech debt in time if people with less experience(or patience) continue to build things with auto generated code without own research and learning. (Edit: punctuations and disamguify)
• nbrad 2y ago
  This is definitely an issue - We're working on an automated code review product (ellipsis.dev), and while we have a lot of happy Swift users, the speed of breaking changes creates issues. Currently we do a mix of letting users put in their own custom rules/feedback, and are working on pulling in latest docs automatically. The issue doesn't seem to be going away soon though - i expect this actually to put pressure on a lot of projects to have more stable APIs (good and bad, i suppose)